Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

On the molecular origins of the ferroelectric splay nematic phase


Nematic liquid crystals have been known for more than a century, but it was not until the 60s–70s that, with the development of room temperature nematics, they became widely used in applications. Polar nematic phases have been long-time predicted, but have only been experimentally realized recently. Synthesis of materials with nematic polar ordering at room temperature is certainly challenging and requires a deep understanding of its formation mechanisms, presently lacking. Here, we compare two materials of similar chemical structure and demonstrate that just a subtle change in the molecular structure enables denser packing of the molecules when they exhibit polar order, which shows that reduction of excluded volume is in the origin of the polar nematic phase. Additionally, we propose that molecular dynamics simulations are potent tools for molecular design in order to predict, identify and design materials showing the polar nematic phase and its precursor nematic phases.


Ferroelectric, ferromagnetic and ferroelastic materials hold a privileged position in material sciences and condensed matter physics research. Their remarkable properties (e.g. shape memory effect, pyroelectric effect, large mechanical, magnetic and electric susceptibilities) demonstrate their potential for use in a wide range of technologies. Although there is no fundamental reason preventing ferromagnetic or ferroelectric order in dipolar liquids, i.e., liquids made of constituents with dipole moment, it was not until very recently, that three different liquid systems with ferroic order have been realized experimentally1,2,3. Because dipolar interactions are strongly anisotropic, suitable (anisotropic) positional correlations between nearest neighbours are crucial for the appearance of ferroic order4. In a liquid, in which the constituents move and rotate, the positional correlations are short-ranged—they span to a few nearest neighbours, and they strongly depend on the shape of the constituents. It seems that the deciding factor for the appearance of long-range ferroic order is such anisometric shape of the constituents which also leads to the formation of anisotropic liquids, better known as liquid crystals (LCs). In the case of a simple uniaxial nematic phase (N), the anisotropic constituents are on average oriented in the same direction, denoted by a unit vector—director. However, for a long time, the realization of ferroic nematic phases remained elusive. Not long ago, it has been shown that, as theoretically predicted5, disk-like shape can lead to uniform ferromagnetic nematic order in colloids of disk-like magnetic particles dispersed both in isotropic liquids2 and in nematic LCs (NLC)1,6, and to helical magnetic order when dispersed in chiral NLC7,8. Still, polar nematic phases on bulk molecular materials seemed to be prevented due to entropic and dipolar interactions between constituting molecules.

Recently, it has been shown that some materials made of elongated molecules, with large longitudinal electric dipole moment and a side group that gives molecules a slight wedge shape, exhibit two nematic phases9,10. The high-temperature phase is an apolar uniaxial nematic (N), the kind widely exploited in current LCD technology, while the low-temperature phase exhibits ferroelectric ordering on the macroscopic scale of several microns3. Because molecular shape lacks head-tail symmetry, polar ordering of the molecules causes orientational elastic instability. The transition between the phases is a ferroelectric–ferroelastic transition3, in which a divergent susceptibility, typical of a ferroelectric transition, is accompanied by the softening of the splay elastic constant which causes the low-temperature ferroelectric phase to be non-uniform3,11, i.e. ferroelectric splay-nematic phase (NS). As it is impossible to fill the space with homogenous Japanese fan-like splay deformation, the exact structure of the director field in the NS will depend on the confinement conditions (size, shape and boundary condition of the container), the orientational elastic constants, the electric polarization and ion concentration. The structure can exhibit 1D12,13 or 2D14 modulation, regular or irregular defect lattice15 or the splay can be combined with other types of deformation, e.g. the twist deformation16. Experimentally, a modulated structure with microns size periodicity has been observed3,11. It is anticipated that when the material is confined to a layer with a thickness comparable to the periodicity, more metastable structures can occur17. The high saturated electric polarization values measured in the typical material RM73418 show that materials exhibiting the NS phase are promising for a variety of applications such as low power fast electro-optic switching devices as well as LC-based photonic technologies, e.g. switchable optical frequency converters. Up to now examples of materials exhibiting the NS phase are scarce and limited to some RM734 analogues9. So far, it has been shown that for RM734-like materials, a short terminal chain (OMe, OEt) coupled with a lateral group (OMe, OEt or OPr) is prerequisite for the formation of the NS phase, as is a terminal nitro group. The reasons for the dependency of the ferroelectric NS phase upon these structural features are not clear; understanding them is clearly a significant barrier to developing improved materials, which may eventually be deployed into applications. Also, an LC compound with a 1,3-dioxane unit (named DIO) was reported to exhibit similar textures, very large dielectric anisotropy and polarity in a low-temperature nematic phase19. More recently, Li et al. have reported several materials, with compatible molecular structures, which exhibit the NS phase and demonstrated that the polar nematic phase of DIO is the same as that shown by RM73420. Unfortunately, so far the NS phase has only been observed at high temperatures creating a pressing need for the development of materials which would exhibit the ferroelectric nematic phase at much lower temperatures, suitable for applications. Understanding the microscopic mechanism which leads to the formation of the ferroelectric phase is therefore imperative; such knowledge, combined with the development of predictive algorithms using computational models, would help to tailor the design of materials that exhibit this phase.

It has been shown that when the nitro group of RM734 is replaced by a nitrile group (RM734-CN), the resulting material does not exhibit the NS phase9. Notably, binary mixtures of RM734 with RM734-CN do not show the NS phase either; even with as little as 10 wt% of RM734-CN, the NS phase is suppressed entirely.

In this paper, we aim to gain insight into the driving mechanism for the formation of the NS phase, by carrying out a comprehensive comparative study of both materials, RM734 and RM734-CN. Experimentally, we focused on those properties that seem to be critical in the N–NS transition, by performing dielectric spectroscopy, dynamic light scattering and WAXS/SAXS experiments. The differences between both materials are analysed in-depth via molecular dynamics simulations; enabling us to develop a model which is then successfully tested against three further variants of RM734, one of which also exhibits the NS phase.


Distinct dielectric relaxation spectra

Molecular structure and reported transition temperatures9 of RM734 and RM734-CN are given in Fig. 1. Detailed description of the phase behaviour can be found in the ‘Methods’ section and Supplementary Figs. 1 and 2. The dielectric spectrum of the N phase of RM734 is distinctive3, being characterized by the gradual emergence of a relaxation mode, whose strength (\(\Delta \varepsilon\)) strongly increases and its relaxation frequency rapidly decreases when approaching the N–NS phase transition. Such behaviour is characteristic of increasingly cooperative dipole motions, evidencing the growth of polar correlations in the N phase. We have performed the same studies for the analogue RM734-CN material in the isotropic and nematic phase.

Fig. 1: Chemical structure of mesogens used in this study.

Molecular structures and transition temperatures (°C) of a RM734—Cr 139.8 (NS 132.7) N 187.9 Iso, and b RM734-CN—Cr 173.2 N 200.4 Iso.

Similarly to RM734, RM734-CN spontaneously aligned homeotropically on the untreated gold electrode surfaces, and thus, we measured the parallel component of the permittivity. To ensure no director reorientation during the measurement, the oscillator level was set to 30 mVrms and measurements were performed on cooling. Temperature and frequency-dependent dielectric spectra in the nematic phase is given in Supplementary Note 2 The characteristic frequencies and amplitudes of the different relaxation modes obtained for RM734-CN (‘Methods’) are shown in Fig. 2 and compared to those already reported for RM7343. The isotropic phase is characterized by a broad single relaxation process (miso) with frequency around 40 MHz and amplitude \({\Delta {{{{{\rm{\varepsilon }}}}}}}_{{{{{{\rm{iso}}}}}}} \sim 12\). On cooling, immediately after the I–N transition, dielectric spectra are characterized by a relaxation mode at lower frequencies and with growing amplitude. This mode, although close to a Debye-type relaxation at high temperatures, slowly broadens on decreasing the temperature. This same behaviour was observed for RM734. As in the latter case, far below the transition, it becomes evident that the seemingly single relaxation mode detected at high-temperature range must in fact be deconvoluted into two different relaxation modes, \({{{{{{\rm{m}}}}}}}_{\parallel ,1}\) and \({{{{{{\rm{m}}}}}}}_{\parallel ,2}\). In line with the observations for RM734, the higher frequency one, \({{{{{{\rm{m}}}}}}}_{\parallel ,2}\), can be attributed to molecular rotations around the short molecular axis, while the lower frequency one, \({{{{{{\rm{m}}}}}}}_{\parallel ,1}\), would correspond to the collective reorientation of the dipole moments. However, in the case of RM734-CN, dipole correlations are remarkably weaker than in the case of RM734. In contrast to the clear softening of the mode for RM734, the characteristic frequency of \({{{{{{\rm{m}}}}}}}_{\parallel,1}\)for RM734-CN shows Arrhenius-like behaviour in the full N temperature range and its strength, although increasing, is far from the diverging trend of RM734. In the latter \(\Delta {\varepsilon }_{\parallel ,1}\) is much larger than \(\Delta {\varepsilon }_{\parallel ,2}\), and the spectrum is dominated by the collective mode. On the other hand, \(\Delta {\varepsilon }_{\parallel ,1}\) and \(\Delta {\varepsilon }_{\parallel ,2}\) in RM734-CN are comparable, indicating that collective reorientations, although present, are weaker. Noteworthy, the amplitudes of the molecular mode \({{{{{{\rm{m}}}}}}}_{\parallel ,2}\) are comparable in both materials, in agreement with the similar molecular dipole moments of both analogues (see the ‘Electronic structure calculations’ section). Description of the behaviour in the high-frequency range can be found in Supplementary Note 2.

Fig. 2: Broadband dielectric spectroscopy.

a Two examples at different temperatures of the derivative of the real part of the permittivity \(d({\varepsilon }^{{\prime} })/{dlog}(f)\) (full circles) and the corresponding fit for RM734-CN (solid lines). On the right, temperature dependence of the b frequencies and c amplitudes of the characteristic dielectric relaxation processes for RM734 (empty symbols) (ref. 3) and RM734-CN (full symbols) as obtained from fits to the Havriliak-Negami equation59. In both cases, three characteristic processes are observed. A high-frequency one \({m}_{\parallel ,3}\)(green triangles), related to the fast molecular reorientation around the molecular long axis, and, unlike conventional nematics, two low-frequency processes: \({m}_{\parallel ,2}\)(red circles), attributed to the molecular reorientation around the short molecular axis and \({m}_{\parallel ,1}\)(blue squares) accounting for the increase of molecular orientation correlations.

Viscoelastic properties in the N phase

One more distinctive characteristic of the N–NS transition in RM734 is the remarkable pretransitional softening of the splay elastic constant12. The ground state of the classical apolar nematic phase is uniform, i.e., the orientation of n does not change with position. We measured the orientational elastic constants in RM734-CN associated with the increase of the energy due to the splay deformation of n using a combination of dielectric Frederiks transition and dynamic light scattering intensities (see ‘Methods’12) and compared them to those of RM73412. At high temperatures, K1 of both materials (Fig. 3a) are comparable and unusually low for a NLC. However, it immediately becomes evident that while K1 of RM734-CN remains practically constant over the measured N range, in the case of RM734, the splay elastic constant strongly decreases as the N–NS transition is approached on cooling.

Fig. 3: Viscoelastic properties of RM734 and RM734-CN in the nematic phase.

Temperature dependence of a the splay elastic constant K1 b the ratios \({K}_{1}/{\eta }_{1}\)and c viscosities \({\eta }_{1}\) for RM734 (blue full circles) (ref. 13) and RM734-CN (orange full squares). While values for K1 are obtained from the combination of dynamic light scattering intensities of the splay orientational fluctuations and the Frederickz transition, diffusion coefficients \({K}_{1}/{\eta }_{1}\) are obtained from the relaxation rates. Combination of both yields values of the viscosities. Comparison of results for both materials shows that the substitution of the nitro group by a nitrile group has a strong effect on the viscoelastic properties, hindering the softening of the splay elastic constant. Vertical dashed lines mark the N–NS transition temperature TN-Ns. Error bars correspond to s.d.

Similar contrasting behaviour is observed for the ratio K1/η1 obtained from the relaxation rates of the splay fluctuation modes (Fig. 3b). For RM734-CN the splay mode becomes slightly slower on lowering the temperature, while a strong softening is detected for RM734 on approaching the N–NS transition. From the splay elastic constant and the diffusion coefficients K1/η1 we obtained the temperature dependence of the splay viscosity (Fig. 3c), showing a steep increase before the N–NS transition for the RM734 as opposed to the classical Arrhenius-like tendency observed for RM734-CN.

Electronic structure calculations

Thus far we have shown the dielectric and viscoelastic properties of RM734 and RM734-CN to be distinct; we therefore turned electronic structure calculations and molecular dynamic simulations in an attempt to understand the observed differences and how they originate in molecular structure.

An initial investigation into the conformational preference of RM734 and RM734-CN was made with DFT calculations. Starting from a geometry optimised at the M06HF-D3/aug-cc-pVTZ level, we performed fully relaxed scans about each of the dihedrals at the same level of theory; i.e. the geometry was optimised for each conformation sampled. Selected dihedrals are shown via the highlighting of their central bond in Fig. 4. Not unexpectedly, we find that the choice of nitro or cyano terminal unit does not affect the molecular electronic structure in such a way that the conformational preference is affected.

Fig. 4: DFT conformational investigations.

ad Conformational energy as a function of the rotational angle for the labelled bonds of RM734 (red solid lines) and RM734-CN (blue solid lines). Minimum energy geometries of RM734 (e) and RM734-CN (f), each with the electrostatic potential isosurface (isovalue 0.04). All calculations were performed at the M06HF-D3/aug-cc-pVTZ level of DFT, as implemented in Gaussian G09 revision d01.

The calculated molecular dipole moments for the global energy minimum geometries of RM734 and RM734-CN, at the M06HF-D3/aug-cc-pVTZ level of DFT, are 11.4 and 11.2 Debye, respectively. For a molecule oriented with its mass inertia axis (taken to be the eigenvector associated with the smallest eigenvalue of the inertia tensor) along x, the dipole vector components (in Debye) are {10.9931,2.9740,0.4941} and {10.7360,2.9549,0.4850}, resulting in an angle between the direction of the dipoles and the molecular axis of 18.3° and 20° for RM734 and RM734-CN, respectively (Supplementary Fig. 8). The calculated eigenvalues of polarizabilities at 800 nm (given in Supplementary Table 1) at the same level of theory, show that while both molecules have comparable isotropic polarizabilities, the anisotropic polarizability is larger for RM734-CN in correspondence with the larger value of the birefringence measured for the nitrile analogue (Supplementary Fig. 6).

Molecular dynamics simulations and X-ray scattering

The X-ray scattering behaviour of RM734 (and that of other structurally related splay-nematic materials) is distinct from classical NLCs for two principal reasons: the scattering intensity is extremely weak in the liquid and liquid-crystalline states; multiple additional diffuse small-angle reflections (002, 003) are present in the N and NS phases9. Neither of these behaviours is observed for the analogous nitrile-terminated material, RM734-CN, or indeed conventional NLCs.

We conjecture that the occurrence of the NS phase and the observation of multiple small-angle X-ray scattering peaks may be related; specifically, that the additional diffuse small-angle reflections observed in the N phase of RM734 (and other materials) encode information about polar order, and so can be used to identify those N phases which potentially can lead to the formation of the NS phase. To demonstrate this, we sought to calculate/simulate X-ray scattering patterns for polar and apolar nematic states of both RM734 and RM734-CN.

Computation of X-ray scattering intensities for isolated molecules (e.g. those from DFT calculations) lacks a description of the nematic structure factor and so cannot explain the observed differences between RM734 and RM734-CN. We, therefore, turned to molecular dynamics (MD) simulations as a means to generate polar (parallel) and apolar (antiparallel) nematic phases comprised of RM734 and RM734-CN, with these then used for subsequent calculation of X-ray scattering intensities.

We performed MD simulations of both materials in both polar and apolar starting configurations, at a range of temperatures (see ‘Methods’). We do not observe a splay modulated structure in our simulations (Fig. 5a); however, this is not unexpected given the modulation period of the NS phase has been measured to be on the order of several microns3,11, whereas the final dimensions of each simulation box are ~10 × 6 × 6 nm3.

Fig. 5: Molecular dynamics simulations.

a Snapshots of molecular dynamics simulations of RM734 and RM734-CN in polar and apolar configurations, and at temperatures of 400 and 500 K, respectively. In each plot, the coloured lines represent the molecular long axis. The order parameter of each molecule is represented by the colour depth of its corresponding line representation. Lastly, two colour scales are used: black to blue, where the molecular long axis makes an angle of ≤90° with the director, and black to red when this angle is ≥90° with the director. Each snapshot was taken at t = 250 ns. Plots of the order parameters P1 (b) and P2 (c) as a function of simulation temperature for RM734 and RM734-CN in polar and apolar configurations. Plots of the difference in mean density between the polar and apolar simulations of RM734 and RM734-CN as a function of temperature (d). In (bd), data points represent mean values from simulations at the indicated temperature, whereas solid lines are a guide to the eye. eh cylindrical pair-correlation functions obtained for MD simulations of RM734 (e, f) and RM734-CN (g, h) in polar (e, g) and apolar (f, h) nematic configurations, respectively, at 400 K. The cylindrical pair-correlation functions were computed over the same time window as was used in the calculation of X-ray scattering data, i.e. 200–280 ns.

Calculated values of P2 (see ‘Methods’) as a function of temperature together with the obtained density values, the latter in particular offering a critical observation (Fig. 5b–d). At a given temperature, the density of RM734-CN is invariant in the polar and apolar nematic simulations (Fig. 5d and Supplementary Fig. 17). Conversely, we find that, at a given temperature, the density of RM734 is somewhat (~0.5%) larger in the polar nematic than in the apolar and simultaneously molecules exhibit larger translational diffusion constant in polar than in apolar state (Supplementary Table 3). The simulated density of RM734 is around 15% less than measured in the solid state by X-ray diffraction (1.473 g cm3; see CCDC deposition number 1851381, Supplementary Note 12)12.

For both we find P2 to be nematic like (i.e. P2 ≥ 0.3) at and below 450 K, and isotropic (i.e. P2 < 0.3) at and above 500 K. This compares favourably with experimentally determined clearing points (RM734 = 461 K, RM734-CN = 473.6 K). The obtained values of P2 are compared with experimental values obtained via WAXS (Table 1) at 400 K. It is immediately apparent that both polar and apolar simulations yield a larger orientational order parameter than that obtained experimentally; simulation mean values of ~0.75 in all four cases compare with experimentally obtained values of 0.68 and 0.62 for RM734 and RM734-CN, respectively21. This overestimation is consistent with other fully atomistic MD simulations22,23,24. In all four simulations the biaxial order parameter, Β, was negligible (lower than 0.05). As expected, the polar order parameter (P1) is large (~0.9) for simulations in the polar configuration and negligible (lower than 0.05) for apolar simulations. As molecular axis and dipole moment of each molecule are not parallel, we can also calculate the order parameter P1 of the polarization vector, i.e. P1(dipole), as the total dipole moment of the simulation box divided by the sum of the dipoles of the individual molecules (Table 1). Difference between P1 and P1(dipoles) arises from the fact that the molecular axis and the molecular dipole are not parallel. In addition, we can define the polarization vector (P) as the total dipole of the simulation box divided by its volume and calculate the angle between the director n and the direction of the polarization described by the unit vector np.

Table 1 Calculated order parameters.

Briefly, comparing our MD simulations of RM734 with those reported in ref. 18, we find our simulations give near-identical values of P2 (polar = 0.787 ± 0.009, apolar = 0.78 ± 0.02, at 130 °C in ref. 18). Values of the polar order parameter, P1 are also comparable (polar = 0.924 ± 0.003, apolar = 0.013 ± 0.004, at 130 °C) although our values are slightly lower for the polar simulation. In ref. 18, the simulated mass density is reported as 1.3 g cm3 at 130 °C, but no distinction is made between the polar and apolar nematic states; this value is broadly comparable with our simulations of RM734. Important points of differentiation between this prior MD work and our own are the number of molecules per simulation (368 in ref. 18 versus 680 here), production MD simulation length about 20 ns in ref. 18 versus 250 ns here), and force field choice (polarizable APPLE&P in ref. 18, non-polarizable GAFF-LCFF here).

We calculate pair-correlation functions for RM734 and RM734-CN in both polar and apolar nematic states from the centre-of-mass of each molecule via a cylindrical binning procedure (Supplementary Fig. 13). Peaks indicate preferred pairing, and in each analysis steric repulsion between molecules leads to a region of low probability centred at h,r = 0 Å (Fig. 5e–h). RM734 in its polar configuration (Fig. 5e) displays large on-axis arcs at h ≈ ±20 Å, which corresponds to head-to-tail pairing (e.g. terminal OMe to terminal NO2); this feature is somewhat less pronounced in RM734-CN in the polar configuration (Fig. 5g), indicating a reduced preference for these configurations. The polar configuration of RM734 also exhibits several off-axis peaks which are absent in the apolar configuration and in RM734-CN in both polar and apolar configurations. In the polar configuration, RM734-CN has significantly stronger off-axis peaks at h ≈ r ≈ 6 Å than RM734; these corresponding to staggered parallel pairs of side-by-side molecules.

There is a subtler difference between the different packing modes in the apolar simulations (Fig. 5f and h), with a mixture of head-to-head and side-side pairs being common to both materials. The on-axis peaks at h ≈ ±20 Å, for both materials, correspond to head-to-head (or tail-to-tail) configurations. The off-axis peaks at h = r = 6 Å correspond to staggered antiparallel pairs, which are known to be dominant for other low-molecular-weight nitrile-terminated materials (e.g. 5CB).

Our analysis of RM734 is in accord with the earlier simulation study by Chen et al.18, and demonstrates that this material exhibits a strong preference for head-to-tail pairing. By also simulating RM734-CN, we find that the terminal nitrile is seemingly unable to sustain this pairing motif, instead adopting a staggered parallel pairing, driven by CN–C(O)O interactions, in polar simulations. We suggest that the head-to-tail pairing is presumably crucial to the formation of the polar NS phase under experimental conditions.

Having demonstrated our ability to generate polar and apolar nematic configurations of both materials, and given the distinctive X-ray scattering behaviour of RM734, we next calculated the two-dimensional X-ray scattering patterns from our MD simulations (Fig. 6), subjecting these to the same analysis as used previously for experimental data (see ‘Methods’). Notably X-ray scattering intensities calculated for polar nematic simulations of both cases feature multiple low angle peaks, whereas the corresponding apolar nematic simulations do not (Fig. 6e, f). The implication being that the presence of multiple low angle scattering peaks is a consequence of polar nematic order rather than differences in molecular structure. We compare this with experimental X-ray scattering data (Fig. 6): RM734 exhibits several low angle peaks in both the nematic and NS phases (as do structurally related materials reported previously)9,10, however, these additional low angle peaks are absent in scattering patterns obtained for RM734-CN, which exhibits a typical apolar nematic phase. These results indicate that small-angle X-ray scattering is perhaps a useful, albeit indirect, probe of polar order within nematic and polar NLC.

Fig. 6: X-ray scattering.

Magnetically aligned two-dimensional X-ray scattering patterns for a RM734 and b RM734-CN in the nematic phase at 152 and 158 °C, respectively. Simulated 2D X-ray scattering patterns obtained from MD trajectories for RM734 with polar (c) and apolar (d) nematic organization, as described in the text. Calculated small-angle X-ray scattering intensities (Icalc) versus Q−1) for MD simulations with parallel and antiparallel dipole organisation for RM734 (e), and RM734-CN (f). g Experimental small-angle X-ray intensities (I/Imax) versus Q−1) for RM734 (red solid line) and RM734-CN at 130° (black solid line). In (a), the dashed lines show the region that was radially integrated to obtain the data presented in (g); in (e) and (g), arrows are a guide to the eye and indicate the 001, 002 and 003 peaks.


Up to now, nematic phases have not shown long-range polar order, even when formed by rod-like molecules with large electric dipole moments. In a uniform nematic phase, random head/tail arrangement is entropically favourable, as well as from the dipole interaction point of view, because antiparallel orientation of neighbouring elongated dipoles is energetically favourable. RM734 demonstrated that a thermotropic polar nematic phase can be realized in a material made of slightly wedge-shaped molecules. However, the RM734-CN analogue reported here shows how a subtle chemical substitution completely modifies this phase behaviour. The first remarkable observation stemming from the comparison of both analogues is that, although splay elastic constant is low for RM734-CN, no pretransitional softening of it is detected as in the case of RM734. Another important observation arises from the evolution of the birefringence Δn vs P2 (Supplementary Fig. 6). Both materials have comparable polarizabilities, but noticeable different behaviour. The link between birefringence and P2, besides depending on the angular distribution function, is also influenced by the orientational molecular correlations25. This indicates that orientational molecular correlations differ in both materials. Such fact also relates to the dielectric behaviour of both analogues. While RM734 shows strong polar correlations culminating in the N–NS transition, the onset of such orientational correlations for RM734-CN, although discernable, is of much lower magnitude. The opposite difference is observed in terms of positional correlations between nearest neighbours. SAXS measurements evidence weaker positional correlations in the N phase of RM734 than in the case of RM734-CN, as inferred from the much weaker scattering intensity when compared to typical nematic scattering patterns. Comparison with RM734 might hinder the relevance of the findings for RM734-CN, however, physical properties of RM734-CN are far from being those of usual N phases. The splay elastic constant of RM734-CN is particularly low when compared with usual nematic materials as 5CB. The presence of two low-frequency relaxation modes, one arising from collective motions, clearly differs from the distinctive dielectric spectra of traditional nematic phases formed by rod-like molecules. For the latter, low-frequency spectra is governed by a single molecular relaxation mode associated with the reorientation of the molecular around their short axis. The great reported differences between the two very similar analogues raise the question of which are the underlying mechanisms driving the formation of the NS phase.

The density difference for the apolar and polar configurations of RM734, although small, can only be due to a more efficient packing of the molecules in the polar phase, i.e. polar order of the slightly wedge-shaped RM734 molecules, reduces the excluded volume, and, simultaneously, decreases attractive interaction energy (Supplementary Table 2). Such a difference is not observed for RM734-CN, which only shows the N phase. The dielectric data show that, although there are polar correlations in this material as well, they do not grow as temperature decreases. This suggests that the packing efficiency, which results in the reduction of the excluded volume and decrease of the attraction energy, is the underlying mechanism for the appearance of the polar nematic phase. Gregorio et al. showed that in a simple model of conical molecules, when density increases, polar order can build up causing the softening of K126. They state, that in their model, splay elastic constant shows a strong dependence on the molecular conical geometry. Inspired by this hypothesis, we measured the temperature dependence of relative changes of density for RM734 (see ‘Methods’). Results show that below the N–NS transition there is a 0.1–0.2% density change between the extrapolated value for the N phase and the measured value for the NS phase (Fig. 7 and Supplementary Video 1). Such difference is smaller than that obtained from MD simulations (~0.5%), which is not surprising because polar order gradually grows already in the nematic phase and, at the weakly first-order phase transition, only part of the density difference occurs. Pair-correlation function analysis of MD simulations shows that the nitro group generates a distinct head-to-tail packing in the polar configuration which is not observed for RM734-CN. Instead, nitrile-terminated materials preferentially form a side-to-side packing, driven by the intermolecular interactions between the nitrile and ester groups, in the polar nematic configuration, and we suggest that due to the lateral methoxy units this arrangement has a larger excluded volume than the head-to-tail form preferred by the nitro-terminated material RM734.

Fig. 7: Density changes measurements.

a Polarizing optical microscopy snapshots at different temperatures of RM734 confined in a 500 × 50 capillary showing the volume changes as a function of temperature. Top-right corner double arrows indicate the directions of the slightly uncrossed polarizer and analyzer. Dashed red and blue lines are visual guidelines and mark the meniscus position in the isotropic phase and in the N phase before transition to NS phase, respectively. b Solid blue line gives the measured temperature dependence of the normalised density. Dashed line is the linear extrapolation from the data in the N phase.

We could further link MD simulations results to our experimental data. The additional small-angle X-ray scattering peaks observed for splay-nematic materials such as RM734 appear to be a consequence of the unique dipole ordering exhibited by these materials which, inter alia, leads to the formation of the NS phase and its remarkable properties. MD simulations of the polar state can faithfully reproduce these additional low angle reflections, whereas apolar nematic simulations cannot. Positional correlations are small, evidenced by the weak scattering signal, suggesting that some staggered positions are only slightly more favourable than others, which is further evidenced by the pair-correlation plots (Fig. 5e–h) and the radial distribution functions (RDFs) (Supplementary Figs. 1415). Existence of the characteristic weak X-ray scattering pattern and the small angles peaks in RM734 already in the N phase far above the phase transition to the NS shows that local polar order is dominant already at high temperatures. The exceptional agreement between experimental and simulated X-ray scattering data shows that weak positional correlations and the appearance of additional peaks in the direction along the director may be used to predict and differentiate NS and precursor N phases from classical nematics.

Thus far we have restricted our atomistic MD simulations to just RM734 and RM734-CN, concluding with the hypothesis that the onset of polar order and the splay-nematic phase is driven by enhanced packing. We can further support this argument by simulating additional variants of RM734, shown in Fig. 8, in polar and apolar nematic configurations and looking for characteristic increased packing. We chose two materials which do not exhibit the NS phase: RM63 lacks the lateral methoxy group, whereas RM500 has a longer terminal alkyl chain. The synthesis and mesomorphic behaviour of both was reported previously9. We also studied an additional material, RM554, which exhibits the NS phase, and shows the same distinct X-ray scattering patterns as RM734 (Supplementary Fig. 18). RM554, possesses an additional fluoro substituent adjacent to the nitro group9.

Fig. 8: Additional structural variants of RM734 explored by MD in both polar and apolar configurations.

a RM734 and d RM734-CN compared in this work. b RM63, which compared to (a) RM734 lacks the lateral methoxy group and c RM500, with a longer terminal alkyl chain do not show NS phase. e RM554, an analogue of RM734 where a fluorine atom is positioned adjacent to the nitro group and whole terminal chain is lengthened by one carbon group, has been previously reported to also exhibit the NS phase9.

All simulations exhibit nematic order, as shown by the values of P2, and the biaxial order parameter is close to zero for all (Table 2). Whereas polar simulations give large values of P1, P1(dipoles), and polarization vector P, these take near-zero values in the apolar simulations. The calculated density presents an important differentiation between materials that exhibit the NS phase (RM554) and those that do not (RM63, RM500). If we make the argument that the splay-nematic phase is observed when the locally polar nematic configuration has a higher density than the equivalent apolar configuration, we begin to understand the molecular origins of this mesophase. For RM63 the calculated densities are effectively identical, and for RM500 the polar nematic is slightly lower in density than the apolar configuration. These results show that a lateral group is essential to give the packing advantage enjoyed by the polar configuration, however the presence of long terminal chains nullifies this advantage. These confinements to molecular structure present some impediments to the future engineering of materials for applications utilising the NS phase, which will presumably operate at ambient temperatures, however, this goes beyond the scope of this paper.

Table 2 Calculated order parameters and density for the RM734 variants.

The calculated density of RM554 is significantly higher in the polar configuration than in the apolar nematic (~0.9%), which mirrors the behaviour seen for RM734. Notably, the increased dipole moment of the fluoro-substituted RM554, relative to the parent RM734, leads to a larger calculated polarisation vector (P) and, one expects, would lead to a larger measured spontaneous polarisation (Ps). This presents a route to future tuning of spontaneous polarisation of NS materials, with obvious ramifications for future applications. Pair-correlation analysis of an MD simulation of RM554 in the polar nematic configuration reveals the same head-to-tail packing mode observed for RM734 (Supplementary Fig. 18). Altogether, these observations highlight the possibility of using MD simulations as a predictive tool for molecular design; by comparing densities of polar and non-polar configurations, through analysis of pair-correlation functions, in the pursuit of materials showing the polar nematic phase in the desired temperature range. GPU accelerated MD packages, and widespread availability of hardware, enable simulations with >100 ns day−1 of performance for simulations featuring several tens of thousands of atoms (or more) that are required for stable liquid-crystalline order to emerge, raising the possibility of Ns materials design guided by simulation.

A logical question to ask is why the polar and ferroelectric splay-nematic phase had not been observed previously given that it should be ubiquitous in rod-like molecules with large transverse electric polarity. This is more puzzling when we consider that such materials are widely employed in display technology, being studied en masse for over half a century. For display applications, materials must operate at ambient temperatures—this is typical achieved via mixture formulation of materials incorporating long (n-C3H7 to n-C9H19) terminal alkyl chains; such structural features are incompatible with the NS phase, as it is currently understood. Furthermore, in the context of materials for nematic LCDs, nitro substituents are generally inferior to nitriles, which themselves have been supplanted by multiply fluorinated materials27. At first glance, it may appear unusual that the NS phase had not been encountered until recently, but there is in fact far less overlap between the types of molecule studied so widely for display technology and those that exhibit this polar nematic variant than is first apparent.

Summarizing, although ferroelectric nematics have huge potential for applications, finding such materials has not been a trivial task as demonstrated by the long time it has taken to realize such phase of matter. Pairing optimized geometries and MD simulations of density and X-ray patterns, each on their own, might not be conclusive. However, altogether the knowledge we gain from MD simulations suggests that ferroelectric (splay) nematics could be designed in silico, rather than being discovered on an ad hoc basis, with the potential to accelerate applications utilizing this polar nematic molecular organization.



Both RM734 and RM734-CN were synthesised via literature methods9; their chemical structures and transition temperatures (°C) are given in Fig. 1, with monotropic phase transitions as reported by DSC measurements are presented in parenthesis ()9. All the experiments presented here have been performed on cooling. On cooling, RM734-CN shows an isotropic-nematic transition around 200 °C. However, the nematic phase can then be supercooled to temperatures around 120 °C even at cooling rates as slow as 0.25 °C/min.

On the other hand, RM734 shows a very rich phase behaviour. On heating from room temperature, a Cr–Cr (Cr I to Cr II) transition is observed between 80 and 90 °C depending on the heating rate (Supplementary Fig. 1). On further heating, the Cr II directly melts into the N phase around 140 °C. Now, without heating further into the isotropic phase, cooling the sample reveals the following phase transition: N–132.7 °C–NS–83 °C–Cr I (Supplementary Fig. 1b). The exact temperature at which the sample crystallizes depends on the cooling rate. Interestingly, depending on the history of the sample, the cooling rate and the cell surfaces, NS phase can be maintained down to room temperature (Supplementary Fig. 2) or a third Crystal phase can be obtained (Cr III) (Supplementary Fig. 1c). Subsequent heating from Cr III reveals that the NS phase can be obtained also on heating, which then transitions into the N phase around 130 °C. During this transition, some aligning features of the NS phase are retained which give rise to a further anchoring relaxation in the N phase. Details on these structural features are given elsewhere17.

X-ray scattering

The X-ray scattering setup is described elsewhere, and datasets are reported elsewhere9. Values of Q were calibrated against a standard of silver behenate. The scattering pattern from an empty capillary (under the same experimental conditions as for each sample) was used as a background and was subtracted from each frame prior to analysis. Calculation of orientational order parameters from azimuthally integrated 2D WAXS patterns used the method described in refs. 28,29.

Quantum chemical calculations

Computational chemistry was performed in Gaussian G09 rev D0130 on either the ARC3 machine at the University of Leeds, or using the same software package on the YARCC or Viking machines at the University of York. Output files were rendered using Qutemol31, or VMD32. Calculations utilised the M06HF33 hybrid DFT functional with additional D3 dispersion correction34, and the aug-cc-pVTZ basis set35. The keywords Integral=UltraFine and SCF(maxcycles = 1024) were used to ensure convergence, while a frequency calculation was used to confirm the absence of imaginary frequencies and so confirm the optimised geometries were true minima.

Fully relaxed scans along the potential energy surface for a given dihedral were performed at the M06HF-D3/aug-cc-pVTZ level of DFT with a step size of 12° via the OPT = MODREDUNDANT keyword.

Polarizabilities and hyperpolarizabilities for RM734 and RM734-CN were calculated at the M06HF-D3/aug-cc-pVTZ level of DFT via the POLAR keyword, at frequencies of 400 and 800 nm (specified via CPHF = RdFreq).

Molecular dynamics

Fully atomistic molecular dynamics (MD) simulations were performed either in Gromacs 2019.336,37,38,39,40,41,42 on the ARC4 machine at the University of Leeds, with support for NVIDIA V100 GPUs through CUDA 10.1.168, or in Gromacs 2016.2 on the YARCC HPC at the University of York We used the General Amber Force Field (GAFF)43 with modifications for liquid-crystalline molecules (GAFF-LCFF)44, as this gives significant improvements over conventional GAFF in terms of predicting heats of formation and density, but also in term of its ability to generate thermodynamically stable liquid-crystalline order. Topologies were generated using AmberTools 1645,46 and converted into Gromacs readable format with Acpype47. Atomic charges were determined using the RESP method48 (see supplementary Note 14 and Supplementary Fig. 20) for geometries optimised at the B3LYP/6-31G(d) level of DFT49,50 using the Gaussian G09 revision d01 software package30.

We constructed initial low-density lattices of 680 molecules with random positional order. For polar nematic simulations, all molecular dipole moments were oriented along +x, while apolar nematic simulations have a 1:1 mixture of molecules aligned along +x and – x. Following energy minimisation, the simulation box was then compressed over 50 ps to a mass density of ~1 g cm3 which is typical of that of low-molecular weight liquid crystals. Following compression, simulations were allowed to equilibrate for 30 ns, with subsequent production MD runs of a further 250 ns. No constraints were applied to enforce or preserve dipole order, which was allowed to evolve throughout the production MD run. Head-to-tail flipping of molecules is rarely seen in the nematic phase, as evidenced by the stable values of P1 = cos(theta), where theta is the angle between a given molecular inertia axis and the nematic director (Supplementary Fig. 21). Temperature variations were studied by taking the final topology and trajectory of a completed simulation at 400 K, and heating (or cooling) to the desired temperature by setting ref-t to an appropriate value; we then performed a 30 ns equilibration followed by a further 250 ns production MD run. Analysis was performed during the time period 30–280 ns, i.e. the production MD run only. A timestep of 0.5 fs was used, and trajectories were recorded every 10 ps.

Simulations employed periodic boundary conditions in xyz. Bonds lengths were constrained to their equilibrium values with the LINCS algorithm51. System pressure was maintained at 1 bar using anisotropic Parrinello-Rahamn pressure coupling52,53, enabling the relative box dimensions to independently vary in all dimensions. Compressibilities in xyz dimensions were set to 4.5e−5, with the off-diagonal compressibilities were set to zero to ensure the simulation box remained rectangular. Simulation temperature was controlled with a Nosé–Hoover thermostat54,55. Long-range electrostatic interactions were calculated using the Particle Mesh Ewald method with a cut-off value of 1.2 nm56. A van der Waals cut-off of 1.2 nm was used. MD trajectories were visualised using PyMOL 4.5.

We confirmed the nematic or isotropic nature of each simulation by calculating the second-rank orientational order parameter (P2) and biaxial order parameter (Β) for all trajectory frames recorded during the production MD run, according to Eq. (1); N is the total number of molecules (680 in all simulations), m is the molecule number within a given simulation.

$${Q}_{\alpha \beta }=\frac{1}{N}{\sum }_{m-1}^{N}\frac{3{a}_{m\alpha }{a}_{m\beta }-{\delta }_{\alpha \beta }}{2}$$

Where α and β indicate two Cartesian directions, am is the long axis of the mth molecule in the simulation, determined from its inertia tensor and δαβ is the Kronecker delta function. \({Q}_{\alpha \beta }\) is diagonalized to give three eigenvalues; the order parameter P2 corresponds to the largest eigenvalue of \({Q}_{\alpha \beta }\), and the biaxial order parameter Β corresponds to the difference between the two smallest eigenvalues. The polar order parameter, P1, was calculated according to:

$$P1=\left\langle {\cos }\theta \right\rangle$$

where θ is the angle between the molecular axis and the local director.

High resolution one-dimensional SAXS curves (I versus Q) were computed from MD trajectories using CRYSOL57. Simulated two-dimensional WAXS patterns were computed from MD trajectories using a modification of the procedure described by Coscia et al.58. Calculation of orientational order parameters from azimuthally integrated simulated 2D WAXS patterns used the method described in refs. 28,29.

For each simulation, we calculated two-dimensional WAXS patterns as an average of trajectories in the time window 200–280 ns (see Supplementary Note 9 and Supplementary Fig. 16). We next calculated small-angle X-ray scattering intensities as a function of Q every 0.5 ns for frames in the time window 200–280 ns; values presented in Fig. 6e, f are an average of these 160 frames to remove any effect from instantaneous positional order.

Broadband dielectric spectroscopy

Spectroscopy measurements of the complex dielectric permittivity \(\varepsilon \left(\omega \right)={\varepsilon }^{{\prime} }(\omega )-i\varepsilon ^{{\prime} {\prime}} \left(\omega \right)\) were carried out in the 103–1.1 × 108 Hz frequency range with a HP4294 impedance analyzer. The material was placed in the nematic phase between two circular gold-plated brass electrodes (5 mm diameter) acting as a parallel-plate capacitor. The separation between electrodes was fixed by 50-μm-thick silica spacers. This sample was accommodated in a modified HP16091A coaxial fixture with a sliding short-circuit along its 7 mm coaxial line section and central conductor. The temperature of the sample was controlled down to ±50 mK in a Novocontrol cryostat. From the comparison with results obtained for the electrodes treated for homeotropic alignment, those obtained in classical glass ITO cells for parallel alignment, and observations of the orientation of the N phase when in direct contact with the ITO surface, we concluded that in the bare gold electrodes the sample spontaneously aligns homeotropically in the nematic phase. All measurements were performed on cooling from the isotropic phase.

At each temperature the characteristic frequency and amplitude of each relaxation process are obtained by fitting \(\varepsilon (\omega )\) to the Havriliak-Negami equation59:

$$\varepsilon \left(\omega \right)=\mathop{\sum}\limits_{k}\frac{\Delta \varepsilon }{{\left[1+{\left(i\omega {\tau }_{{{{{{\rm{HN}}}}}}}\right)}^{{\alpha }_{k}}\right]}^{{\beta }_{k}}}+{\varepsilon }_{{{{{{\rm{\infty }}}}}}}-i\frac{{\sigma }_{0}}{\omega {\varepsilon }_{0}}$$

Detailed description of the fits and examples can be found in Supplementary Note 2, Fig. 2 and Supplementary Fig. 4 for RM734-CN and Supplementary Fig. 5 for RM734 for completeness.

Dynamic light scattering

In the DLS experiments, we used a standard setup, using a frequency-doubled diode-pumped ND:YAG laser (532 nm, 80 mW), an ALV APD based “pseudo” cross-correlation detector, and ALV-6010/160 correlator to obtain the autocorrelation function of the scattered light intensity. The direction and the polarization of the incoming and detected light were chosen so that pure splay mode was observed12. A single mode optical fibre with a GRIN lens was used to collect the scattered light within one coherence area. We fitted the intensity autocorrelation function g2 with \({g}_{2}=1+2\left(1-{j}_{d}\right){j}_{d}{g}_{1}+{j}_{d}^{2}{g}_{1}^{2}\), where jd is the ratio between the intensity of the light that is scattered inelastically and the total scattered intensity, and g1 was a single exponential function, \({g}_{1}={e}^{-t/\tau }\). The relaxation rate 1/τ was attributed to the splay eigenmode of orientational fluctuations with the wavevector q equal to the scattering vector qs. The scattered intensity of the mode was determined as a product \({j}_{{{{{{\rm{d}}}}}}}{I}_{{{{{{\rm{tot}}}}}}}\), where Itot was the total detected intensity. The scattered intensity from a pure splay mode is, \({I}_{1}\propto {\left(\triangle {\varepsilon }_{{{{{{\rm{opt}}}}}}}\right)}^{2}/{K}_{1}{q}^{2}\), and the relaxation rates \(1/{\tau }_{1}={K}_{1}{q}^{2}/{\eta }_{1}\), where q is the scattering vector25. The temperature dependence of the anisotropy of dielectric tensor at optical frequencies \(\Delta {\varepsilon }_{{{{{{\rm{opt}}}}}}}\) was obtained from measurements of Δn (Supplementary Fig. 6). With this method, the temperature dependence of the splay elastic constant and viscosity are obtained, but not their absolute value. We determined the absolute values of K1 and K3 at 180 °C from capacitance measurement of the Fredericks transition, where the threshold voltage for the reorientation of the material in a planar cell is related to the splay elastic constant by the relation \({V}_{{{{{{\rm{th}}}}}}}=\sqrt{{\pi }^{2}{K}_{1}/{\varepsilon }_{0}\Delta \varepsilon }\) (see Supplementary Note 4).

Normalised density changes

Changes in density were measured by polarizing optical microscopy. A section of a capillary of 500 µm width and 50 µm was filled with the material and sealed at both ends. The capillary was placed between slightly uncrossed polarizers for better definition of the meniscus position. The sample was heated to the isotropic phase and then cooled at 2 °C/min while recording. Temperature gradients were avoided with a copper enclosure for the capillary. Changes in density are then calculated from the variation of the total material slab length referenced to the isotropic phase, \(\rho (T)/{\rho }_{{{{{{\rm{iso}}}}}}}={V}_{{{{{{\rm{iso}}}}}}}/V(T)={L}_{{{{{{\rm{iso}}}}}}}/L(T)\).

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.


  1. 1.

    Mertelj, A., Lisjak, D., Drofenik, M. & Copic, M. Ferromagnetism in suspensions of magnetic platelets in liquid crystal. Nature 504, 237–241 (2013).

    ADS  CAS  PubMed  Article  Google Scholar 

  2. 2.

    Shuai, M. et al. Spontaneous liquid crystal and ferromagnetic ordering of colloidal magnetic nanoplates. Nat. Commun. 7, 10394 (2016).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. 3.

    Sebastián, N. et al. Ferroelectric-ferroelastic phase transition in a nematic liquid crystal. Phys. Rev. Lett. 124, 037801 (2020).

    ADS  PubMed  Article  Google Scholar 

  4. 4.

    Morozov, K. I. Long-range order of dipolar fluids. J. Chem. Phys. 119, 13024–13032 (2003).

    ADS  CAS  Article  Google Scholar 

  5. 5.

    Palffy-Muhoray, P., Lee, M. A. & Petschek, R. G. Ferroelectric nematic liquid crystals: realizability and molecular constraints. Phys. Rev. Lett. 60, 2303–2306 (1988).

    ADS  CAS  PubMed  Article  Google Scholar 

  6. 6.

    Liu, Q., Ackerman, P. J., Lubensky, T. C. & Smalyukh, I. I. Biaxial ferromagnetic liquid crystal colloids. Proc. Natl Acad. Sci. 113, 10479–10484 (2016).

  7. 7.

    Ackerman, P. J. & Smalyukh, I. I. Static three-dimensional topological solitons in fluid chiral ferromagnets and colloids. Nat. Mater. 16, 426–432 (2017).

    ADS  CAS  PubMed  Article  Google Scholar 

  8. 8.

    Rupnik, P. M., Lisjak, D., Čopič, M., Čopar, S. & Mertelj, A. Field-controlled structures in ferromagnetic cholesteric liquid crystals. Sci. Adv. 3, e1701336 (2017).

    ADS  Article  CAS  Google Scholar 

  9. 9.

    Mandle, R. J., Cowling, S. J. & Goodby, J. W. Rational design of rod-like liquid crystals exhibiting two nematic phases. Chem. Eur. J. 23, 14554–14562 (2017).

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Mandle, R. J., Cowling, S. J. & Goodby, J. W. A nematic to nematic transformation exhibited by a rod-like liquid crystal. Phys. Chem. Chem. Phys. 19, 11429–11435 (2017).

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Connor, P. L. M. & Mandle, R. J. Chemically induced splay nematic phase with micron scale periodicity. Soft Matter 16, 324–329 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  12. 12.

    Mertelj, A. et al. Splay nematic phase. Phys. Rev. X 8, 041025 (2018).

    CAS  Google Scholar 

  13. 13.

    Berardi, R., Ricci, M. & Zannoni, C. Ferroelectric and structured phases from polar tapered mesogens. Ferroelectrics 309, 3–13 (2004).

    CAS  Article  Google Scholar 

  14. 14.

    Rosseto, M. P. & Selinger, J. V. Theory of the splay nematic phase: single versus double splay. Phys. Rev. E 101, 052707 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  15. 15.

    Pleiner, H. & Brand, H. R. Spontaneous splay phases in polar nematic liquid crystals. EPL 9, 243 (1989).

    ADS  CAS  Article  Google Scholar 

  16. 16.

    Chaturvedi, N. & Kamien, R. D. Gnomonious projections for bend-free textures: thoughts on the splay-twist phase. Proc. R. Soc. A: Math., Phys. Eng. Sci. 476, 20190824 (2020).

    ADS  MathSciNet  CAS  MATH  Article  Google Scholar 

  17. 17.

    Sebastián, N., Mandle, R. J., Petelin, A., Eremin, A. & Mertelj, A. Electrooptics of mm-scale polar domains in the ferroelectric splay nematic phase. Liquid Crystals (2021).

  18. 18.

    Chen, X. et al. First-principles experimental demonstration of ferroelectricity in a thermotropic nematic liquid crystal: Polar domains and striking electro-optics. Proc. Natl Acad. Sci. USA 117, 14021 (2020).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Nishikawa, H. et al. A fluid liquid-crystal material with highly polar order. Adv. Mater. 29, 1702354 (2017).

    Article  CAS  Google Scholar 

  20. 20.

    Li, J. et al. Development of ferroelectric nematic fluids with giant-ε dielectricity and nonlinear optical properties. Sci. Adv. 7, eabf5047 (2021).

  21. 21.

    Mandle, R. J. & Mertelj, A. Orientational order in the splay nematic ground state. Phys. Chem. Chem. Phys. 21, 18769–18772 (2019).

    CAS  PubMed  Article  Google Scholar 

  22. 22.

    Peláez, J. & Wilson, M. Molecular orientational and dipolar correlation in the liquid crystal mixture E7: a molecular dynamics simulation study at a fully atomistic level. Phys. Chem. Chem. Phys. 9, 2968–2975 (2007).

    PubMed  Article  Google Scholar 

  23. 23.

    Tiberio, G., Muccioli, L., Berardi, R. & Zannoni, C. Towards in silico liquid crystals. realistic transition temperatures and physical properties for n-cyanobiphenyls via molecular dynamics simulations. ChemPhysChem 10, 125–136 (2009).

    CAS  PubMed  Article  Google Scholar 

  24. 24.

    Sims, M. T., Abbott, L. C., Cowling, S. J., Goodby, J. W. & Moore, J. N. Dyes in liquid crystals: experimental and computational studies of a guest–host system based on a combined DFT and MD approach. Chem. – A Eur. J. 21, 10123–10130 (2015).

    CAS  Article  Google Scholar 

  25. 25.

    Gennes, P. G. de & Prost, J. The Physics of Liquid Crystals, 2nd ed. (Clarendon Press, Oxford, 1995).

  26. 26.

    Gregorio, P. D., Frezza, E., Greco, C. & Ferrarini, A. Density functional theory of nematic elasticity: softening from the polar order. Soft Matter 12, 5188–5198 (2016).

    ADS  PubMed  Article  CAS  Google Scholar 

  27. 27.

    Goodby, J. W. The nanoscale engineering of nematic liquid crystals for displays. Liq. Cryst. 38, 1363–1387 (2011).

    CAS  Article  Google Scholar 

  28. 28.

    Sims, M. T., Abbott, L. C., Richardson, R. M., Goodby, J. W. & Moore, J. N. Considerations in the determination of orientational order parameters from X-ray scattering experiments. Liq. Cryst. 46, 11–24 (2019).

    CAS  Article  Google Scholar 

  29. 29.

    Agra-Kooijman, D. M., Fisch, M. R. & Kumar, S. The integrals determining orientational order in liquid crystals by x-ray diffraction revisited. Liq. Cryst. 45, 680–686 (2018).

    CAS  Article  Google Scholar 

  30. 30.

    Frisch M. J. et al. Gaussian 09, Revision D01 (Gaussian, Inc., 2016).

  31. 31.

    Tarini, M., Cignoni, P. & Montani, C. Ambient occlusion and edge cueing for enhancing real time molecular visualization. IEEE Trans. Vis. Computer Graph. 12, 1237–1244 (2006).

    Article  Google Scholar 

  32. 32.

    Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996).

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Zhao, Y. & Truhlar, D. G. Density functional for spectroscopy: no long-range self-interaction error, good performance for Rydberg and charge-transfer states, and better performance on average than B3LYP for ground states. J. Phys. Chem. A 110, 13126–13130 (2006).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    Grimme, S., Antony, J., Ehrlich, S. & Krieg, H. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. J. Chem. Phys. 132, 154104 (2010).

    ADS  Article  CAS  Google Scholar 

  35. 35.

    Kendall, R. A., Dunning, T. H. & Harrison, R. J. Electron affinities of the first‐row atoms revisited. Syst. Basis Sets Wave Funct. J. Chem. Phys. 96, 6796–6806 (1992).

    CAS  Google Scholar 

  36. 36.

    Berendsen, H. J. C., van der Spoel, D. & van Drunen, R. GROMACS: a message-passing parallel molecular dynamics implementation. Computer Phys. Commun. 91, 43–56 (1995).

    ADS  CAS  Article  Google Scholar 

  37. 37.

    Lindahl, E., Hess, B. & van der Spoel, D. GROMACS 3.0: a package for molecular simulation and trajectory analysis. J. Mol. Model 7, 306–317 (2001).

    CAS  Article  Google Scholar 

  38. 38.

    Van Der Spoel, D. et al. GROMACS: fast, flexible, and free. J. Comput Chem. 26, 1701–1718 (2005).

    Article  CAS  Google Scholar 

  39. 39.

    Hess, B., Kutzner, C., van der Spoel, D. & Lindahl, E. GROMACS 4: algorithms for highly efficient, load-balanced, and scalable molecular simulation. J. Chem. Theory Comput. 4, 435–447 (2008).

    CAS  Article  Google Scholar 

  40. 40.

    Pronk, S. et al. GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit. Bioinformatics 29, 845–854 (2013).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Abraham, M. J. et al. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015).

    ADS  Article  Google Scholar 

  42. 42.

    Páll, S., Abraham, M. J., Kutzner, C., Hess, B. & Lindahl, E. In Solving Software Challenges for Exascale Vol. 8759 (eds. Markidis, S. & Laure, E.) 3–27 (Springer International Publishing, 2015).

  43. 43.

    Wang, J., Wolf, R. M., Caldwell, J. W., Kollman, P. A. & Case, D. A. Development and testing of a general amber force field. J. Computational Chem. 25, 1157–1174 (2004).

    CAS  Article  Google Scholar 

  44. 44.

    Boyd, N. J. & Wilson, M. R. Optimization of the GAFF force field to describe liquid crystal molecules: the path to a dramatic improvement in transition temperature predictions. Phys. Chem. Chem. Phys. 17, 24851–24865 (2015).

    CAS  PubMed  Article  Google Scholar 

  45. 45.

    Case, D. A. et al. The Amber biomolecular simulation programs. J. Computational Chem. 26, 1668–1688 (2005).

    CAS  Article  Google Scholar 

  46. 46.

    Wang, J., Wang, W., Kollman, P. A. & Case, D. A. Automatic atom type and bond type perception in molecular mechanical calculations. J. Mol. Graph. Model. 25, 247–260 (2006).

    ADS  PubMed  Article  CAS  Google Scholar 

  47. 47.

    Sousa da Silva, A. W. & Vranken, W. F. ACPYPE - AnteChamber PYthon Parser interfacE. BMC Res. Notes 5, 367 (2012).

    PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Bayly, C. I., Cieplak, P., Cornell, W. & Kollman, P. A. A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP model. J. Phys. Chem. 97, 10269–10280 (1993).

    CAS  Article  Google Scholar 

  49. 49.

    Becke, A. D. Density‐functional thermochemistry. III. The role of exact exchange. J. Chem. Phys. 98, 5648–5652 (1993).

    ADS  CAS  Article  Google Scholar 

  50. 50.

    Lee, C., Yang, W. & Parr, R. G. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys. Rev. B 37, 785–789 (1988).

    ADS  CAS  Article  Google Scholar 

  51. 51.

    Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: a linear constraint solver for molecular simulations. J. Computational Chem. 18, 1463–1472 (1997).

    CAS  Article  Google Scholar 

  52. 52.

    Parrinello, M. & Rahman, A. Polymorphic transitions in single crystals: a new molecular dynamics method. J. Appl. Phys. 52, 7182–7190 (1981).

    ADS  CAS  Article  Google Scholar 

  53. 53.

    Nosé, S. & Klein, M. L. Constant pressure molecular dynamics for molecular systems. Mol. Phys. 50, 1055–1076 (1983).

    ADS  Article  Google Scholar 

  54. 54.

    Nosé, S. A molecular dynamics method for simulations in the canonical ensemble. Mol. Phys. 52, 255–268 (1984).

    ADS  Article  Google Scholar 

  55. 55.

    Hoover, W. G. Canonical dynamics: equilibrium phase-space distributions. Phys. Rev. A 31, 1695–1697 (1985).

    ADS  CAS  Article  Google Scholar 

  56. 56.

    Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: an N log(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993).

    ADS  CAS  Article  Google Scholar 

  57. 57.

    Svergun, D., Barberato, C. & Koch, M. H. J. CRYSOL—a program to evaluate X-ray solution scattering of biological macromolecules from atomic coordinates. J. Appl Cryst. 28, 768–773 (1995).

    CAS  Article  Google Scholar 

  58. 58.

    Coscia, B. J. et al. Understanding the nanoscale structure of inverted hexagonal phase lyotropic liquid crystal polymer membranes. J. Phys. Chem. B 123, 289–309 (2019).

    CAS  PubMed  Article  Google Scholar 

  59. 59.

    Havriliak, S. & Negami, S. A complex plane analysis of alfa-dispersions in some polymer systems. J. Polym. Sci. C. 14, 99–117 (1966).

    Article  Google Scholar 

Download references


Computational work was undertaken on either ARC3 or ARC4, part of the High Performance Computing facilities at the University of Leeds, UK, or the YARCC or Viking High Performance Computing facilities at the University of York. N.S. and A.M. acknowledge the financial support from the Slovenian Research Agency (research core Funding No. P1-0192). J.M.-P. acknowledges funding by the University of the Basque Country (project GIU18/146). N.S. and J.M.-P. thank Prof. M.R. de la Fuente for technical support with the dielectric measurements.

Author information




R.J.M. synthesised the materials, performed X-ray experiments, DFT and MD simulations. N.S. and J.M.-P. performed dielectric spectroscopy measurements and contributed to its analysis. N.S. and A.M. carried out DLS experiments. N.S., J.M.-P. and A.M. collected birefringence data. N.S. and A.M. coordinated the work. A.M. oversaw all the contributions. R.J.M., N.S. and A.M. prepared the initial draft of the manuscript and all the authors made contributions to the final version.

Corresponding authors

Correspondence to Richard J. Mandle or Alenka Mertelj.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mandle, R.J., Sebastián, N., Martinez-Perdiguero, J. et al. On the molecular origins of the ferroelectric splay nematic phase. Nat Commun 12, 4962 (2021).

Download citation


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing