Article | Open | Published:

Room-temperature mechanocaloric effects in lithium-based superionic materials

Nature Communicationsvolume 9, Article number: 3337 (2018) | Download Citation


Mechanocaloric materials undergo sizable temperature changes during stress-induced phase transformations and hence are highly sought after for solid-state cooling applications. Most known mechanocaloric materials, however, operate at non-ambient temperatures and involve first-order structural transitions that pose practical cyclability issues. Here, we demonstrate large room-temperature mechanocaloric effects in the absence of any structural phase transformation in the fast-ion conductor Li3N (|ΔS| ~ 25 J K−1 kg−1 and |ΔT| ~ 5 K). Depending on whether the applied stress is hydrostatic or uniaxial the resulting caloric effect is either direct (ΔT > 0) or inverse (ΔT < 0). The dual caloric response of Li3N is due exclusively to stress-induced variations on its ionic conductivity, which entail large entropy and volume changes that are fully reversible. Our work should motivate the search of large and dual mechanocaloric effects in a wide variety of superionic materials already employed in electrochemical devices.


Caloric materials undergo large temperature variations as a result of field-induced phase transformations involving sizable entropy changes1. Solid-state cooling based on caloric materials represents an alternative to traditional refrigeration technologies based on compression cycles of greenhouse gases, which in addition to the obvious environmental threats cannot be scaled to small sizes. A major breakthrough took place more than two decades ago with the discovery of giant magnetocaloric effects in the intermetallic compound Gd5(Si2Ge2)2. Magnetocaloric materials, however, are mostly based on rare-earth elements, thereby are scarce, and require the generation of ultrahigh magnetic fields. Meanwhile, mechanocaloric (MC) effects produced by moderate mechanical stresses recently have attracted a lot of attention owing to their large isothermal entropy and adiabatic temperature shifts, which may surpass by an order of magnitude those achieved in magnetocaloric materials with commercially available permanent magnets1,3. To date, giant MC effects near structural phase transitions have been experimentally observed in a number of relatively expensive magnetic materials4,5,6, shape-memory alloys7,8, fluoride-based materials9,10,11,12, polar materials13,14, a polymer15, organic—inorganic hybrid perovskites16,17, and the archetypal superionic conductor AgI18. We note that giant MC effects in AgI and other similar superionic compounds like CaF2, PbF2, and Li3OCl were theoretically predicted prior to the experiments19,20. Actually, computational approaches are increasingly being applied with success to the study of MC materials (see, for instance, refs.21,22) since they are reliable and can be used in an effective and inexpensive manner. Yet, in spite of their promise, giant MC effects normally occur at temperatures that are distant from ambient conditions and involve first-order transitions that in practice lead to severe thermal hysteresis problems. New caloric materials displaying large room-temperature MC effects and non-irreversible atomic processes, therefore, are highly desirable for the development of solid-state cooling devices.

We present here an original strategy for achieving large and reversible MC effects at ambient temperature based on fast-ion conductors, and illustrate it in Li3N. Rather than focusing on the triggering of a structural phase transition, which only serendipitously will occur at room temperature, our starting point is a material that is already superionic at ambient conditions. Large and reversible MC effects then can be obtained through the application of mechanical stresses since these affect significantly and sustainedly the ionic conductivity, and in turn the entropy and volume, in fast-ion conductors19,20,23. (We note that application of the same strategy to other families of MC materials, for instance ferro/ferrielectrics and magnetic compounds, is likely to fail as due to field-induced saturation of the relevant order parameters at thermodynamic conditions other than transition points.) In Li3N, we estimate a giant room-temperature isothermal entropy change ΔS of about −25 J K−1 kg−1 at a maximum hydrostatic stress of 1 GPa. The corresponding room-temperature adiabatic temperature shift ΔT is ≈ + 3 K, which is large but not giant due to the huge heat capacity of such a light-weight material. Interestingly, when Li3N is subjected to uniaxial tensile loads similarly large |ΔS| and |ΔT| shifts are obtained but with opposite signs (ΔS > 0). The disclosed large and dual, that is, direct (ΔT > 0) and inverse (ΔT < 0), MC effects can be understood in terms of simple arguments based on stress-induced variations on the volume an ion-transport properties of superionic materials19,20,23. We also discuss straightforward chemical strategies for increasing the ΔT values estimated in Li3N by more than a factor of two.


Direct barocaloric effects

Figure 1 shows the two common polymorphs found in commercially available samples of bulk Li3N. The α phase (hexagonal, space group P63/mmm) has a layered structure composed of alternating planes of hexagonal Li2N and pure Li+ ions (Fig. 1a). The β phase (hexagonal, space group P63/mmc) presents an additional layer of lithium ions intercalated between the Li2N planes that is accompanied by a doubling of the unit cell (Fig. 1b). Exceptionally high ionic conductivities of the order of 10−4–10−3 S cm−1 have been experimentally observed in Li3N at room temperature24,25,26. In our molecular dynamics (MD) simulations based on classical interaction potentials and first-principles methods (Methods, Supplementary Methods, and Supplementary Table 1), we find that stoichiometric α-Li3N displays high ionic conductivity at T = 300 K (i.e., of the order of 10−4 S cm−1), which is in consistent agreement with the experimental observations24,25,26. On the other hand, it is necessary to consider a small concentration of extrinsic Li+ vacancies (~1%) in β-Li3N to render similar room-temperature superionic features.

Fig. 1
Fig. 1

Representation of the Li3N polymorphs considered in this study. a Sketch of the α phase from different views. b Sketch of the β phase from different views. Li and N ions are represented with green and blue spheres, respectively

Figure 2 shows our estimation of the barocaloric (BC) effects induced by hydrostatic stresses of up to 1 GPa in Li3N at room temperature and T = 400 K. In the β phase, we obtain a maximum room-temperature entropy shift of −24 J K−1 kg−1 that increases slightly in absolute value at higher temperatures (Fig. 2a). The resulting BC effects, therefore, are direct (ΔT > 0, Methods). In view of previous reports, see for instance4,5,6 and Supplementary Table 2, the magnitude of such ΔS can be regarded as “giant” (that is, |ΔS|~101 J K−1 kg−1). The accompanying adiabatic temperature shifts (Fig. 2b), however, are large but not giant (that is, |ΔT| < 10 K) owing to the huge heat capacity of Li3N (C0 ~ 4.103 J K−1 kg−1 at T = 300 K, Supplementary Fig. 1), which is a very light-weight compound. We note that for a fixed temperature the pressure-induced increase of ΔS and ΔT are practically constant, which suggests a sustained change in the physical properties of the material under pressure (in contrast to the abrupt ΔS and ΔT changes observed during structural phase transitions20). Analogous results are found in α-Li3N (Fig. 2c, d) although in this case the estimated isothermal entropy and adabatic temperature changes are slightly larger (for instance, ΔS = −32 J K−1 kg−1 and ΔT = +2.8 K at T = 300 K and σ = 1 GPa), and the corresponding pressure-induced shift increments fluctuate somewhat.

Fig. 2
Fig. 2

Direct barocaloric effects in Li3N. a Isothermal entropy and b adiabatic temperature shifts estimated in β-Li3N. c Isothermal entropy and d adiabatic temperature shifts estimated in α-Li3N

The large and direct BC effects found in superionic Li3N are not driven by any structural phase transformation (i.e., the crystal symmetry of the system remains the same over the whole studied pressure range). This is explicitly shown in Fig. 3a–f, where we plot the radial distribution function calculated for all ionic couples at T = 300 K and different σ conditions: The corresponding g(r) profiles present almost identical traits independently of the applied pressure within the interval 0 ≤ P ≤ 1 GPa. Further evidence for the absence of any σ-induced structural phase transformation is provided by our coordination number (Supplementary Fig. 2), position correlation function27,28 (Supplementary Fig. 3), and enthalpy energy (Supplementary Fig. 4) results. We note that our findings are fully consistent with previous experimental as well as theoretical reports29,30,31, which provides further confidence in the employed computational approach (Methods and Supplementary Methods).

Fig. 3
Fig. 3

Structural properties of β-Li3N at equilibrium and under pressure. Radial pair distribution function obtained for the ad Li–Li, be Li–N, and cf N–N pairs at T = 300 K. g Two planes perpendicular to the hexagonal c-axis and containing different types of Li+ ions, namely “Li1” and “Li2”, are indicated with red thick lines

The absence of any structural phase transformation in Li3N (within the pressure range P ≤ 1 GPa) is in stark contrast to what is observed in other BC materials, in which most of the caloric response is concentrated near phase transition points1. Then, which is the principal mechanism behind the disclosed giant ΔS in Li3N? It is well-known that hydrostatic pressure depletes significantly the ionic diffusivity, and therefore the entropy, in most fast-ion conductors19,27,28,32. Essentially, the available volume to interstitial ions is effectively reduced under compression and as a consequence the kinetic barriers and formation energy of defects governing ion migration increase drastically19,28 (Supplementary Fig. 5). We illustrate such a σ-induced reduction in the ionic conductivity of β – Li3N in Fig. 4. Therein, we plot two different lithium density plots constructed as in-plane Li+ position histograms (see Fig. 3g for plane notation) calculated at room temperature and σ = 0 and 1 GPa: The diffusivity of lithium ions at equilibrium (Fig. 4a) is larger than under pressure (Fig. 4b) as shown by the higher presence of high-density areas between crystal lattice sites and on vacancy positions (highlighted with white boxes in the figure). Specifically, the estimated room-temperature Li+ diffusion coefficient DLi and corresponding ionic conductivity ϕLi (Methods) amount respectively to 8.6×10−7 cms−1 and 4.7×10−4 S cm−1 at σ = 0 GPa, and to 5.3×10−7 cms−1 and 2.8×10−4 S cm−1 at σ = 1 GPa (Supplementary Fig. 6). We note that in our ab initio and classical MD simulations the Li+ diffusivities calculated along the hexagonal c–axis and other perpendicular directions do not present significant differences (Supplementary Fig. 7).

Fig. 4
Fig. 4

Lithium ion density plots calculated in β-Li3N at T = 300 K and different hydrostatic pressure conditions. Results obtained at a zero pressure and b σ = 1 GPa. “Li1” and “Li2” indicate results obtained for system slices centered in the z-positions sketched in Fig. 3g. White boxes emphasize Li+ diffusion within the xy plane

Inverse elastocaloric effects

Uniaxial and biaxial mechanical stresses can be used to enhance the ionic conductivity in superionic materials19,20,23,33,34,35. An enhancement of ionic conductivity normally is accompanied by an increase in the entropy of the system (ΔS > 0), which suggests the possibility of realizing also inverse MC effects (ΔT < 0) in fast-ion conductors. We have tested such an hypothesis in Li3N by performing MD simulations under constrained uniaxial tensile loads. (We note that α–Li3N is found to be vibrationally unstable in our uniaxial tensile stress simulations, hence we focus on the β–Li3N polymorph in the following analysis.)

Figure 5 shows the elastocaloric (EC) effects induced by uniaxial tensile stresses applied along the hexagonal c-axis in β-Li3N at room temperature and T = 400 K. An arbitrary maximum tensile stress of −8 GPa has been applied in our calculations, which corresponds to a maximum strain deformation along the hexagonal c-axis of +5.8% (see inset in Fig. 5). A giant isothermal entropy change of ΔS = +20 J K−1 kg−1 is estimated at the highest simulated uniaxial load and room temperature, which increases up to +25 J K−1 kg−1 at T = 400 K (Fig. 5a). The resulting EC effects, therefore, are inverse (ΔT < 0). Also in this case, the accompanying adiabatic temperature shifts are large but not giant (that is, ΔT = −2.0 and −3.4 K at T = 300 and 400 K, respectively, Fig. 5b) due to the huge heat capacity of Li3N (Supplementary Fig. 1).

Fig. 5
Fig. 5

Inverse elastocaloric effects in β-Li3N. a Isothermal entropy and b adiabatic temperature shift results. The relationship between uniaxial tensile stress and strain deformation along the Cartesian z direction, or equivalently the hexagonal c-axis, is shown in the inset

In analogy to the BC case, none σ-induced structural phase transition is responsible for the observed EC effects (Supplementary Figs. 2, 4, 8). The inverse EC response of superionic Li3N can be entirely understood in terms of σ-induced enhancements of its ionic conductivity. Uniaxial tensile stresses produce an effective increase in the volume of the system, which in turn provokes the kinetic barriers and formation energy of defects governing ion migration to decrease significantly19,34,35 (Supplementary Fig. 5). Such a σ-driven enhancement of the Li+ ionic conductivity is illustrated in Fig. 6, where we show that the number of high-density lithium ion regions appearing between crystal lattice positions and on vacancy sites is appreciably higher than found at σ = 0 GPa and same temperature (Fig. 4a). Likewise, for an uniaxial tensile stress of −7 GPa the estimated room-temperature lithium diffusion coefficient DLi and corresponding ionic conductivity ϕLi (Methods) amount to 10.2×10−7 cms−1 and 5.5×10−4 S cm−1, respectively, to be compared with 8.6×10−7 cms−1 and 4.7×10−4 S cm−1 calculated at T = 300 K and σ = 0 GPa (Supplementary Fig. 6).

Fig. 6
Fig. 6

Lithium ion density plots calculated in β-Li3N at T = 300 K under an uniaxial tensile stress of −7 GPa along the Cartesian z direction. “Li1” and “Li2” indicate results obtained for system slices centered in the z-positions sketched in Fig. 3g. White boxes emphasize Li+ diffusion within the xy plane


The large MC room-temperature effects disclosed in superionic Li3N pose great prospects in the context of refrigeration-cycle reversibility as due to the absence of mechanical hysteresis effects deriving from the nucleation of order-parameter domains (in contrast to what occurs in ferro/ferrielectrics and magnetic compounds where such issues may actually turn out to be critical). Furthermore, it has been experimentally demonstrated by means of ultrafast X-ray spectroscopy that the characteristic time scale of superionic switching is just of few picoseconds36, which is consistent with our simulations (Supplementary Fig. 7). Consequently, refrigeration cycles based on fast-ion conductors may be conducted efficiently at high repetition rates. In order to assess the reversibility features of superionic-based MC cycles, we have performed additional classical MD simulations in which we have varied at a constant rate of 10−3 GPa/ps the applied pressure on β-Li3N, first from 0 to 1 GPa and then backwards from 1 to 0 GPa, while monitoring the accompanying changes on the volume and energy of the system. Our simulation results reassure the highly reversible and responsive nature of σ-driven changes on the physical properties of Li3N, as it is demonstrated by the smallness of the volume and energy differences estimated between the 0→1 GPa and 1→0 GPa runs (Supplementary Fig. 9).

Arguably, the only disadvantage of superionic Li3N for developing new MC solid-sate cooling applications is that the corresponding adiabatic temperature shifts are not giant (|ΔT| < 10 K). As we have mentioned in previous sections, this shortcoming is due to the fact that the heat capacity of Li3N C0 is huge owing to its light weight (note that giant isothermal entropy changes are already obtained under moderate stress variations, see Eq. (5) in Methods). A straightforward strategy for drastically enhancing the ΔT values obtained in Li3N may consist in substituting the “static” sublattice of nitrogen ions by isoelectronic and larger-mass larger-radius elements, namely, P and As, in order to effectively reduce the C0 of the system while keeping its superionicity28. Certainly, Li3P and Li3As are isostructural to Li3N and they are known to be better superionic conductors at room temperature26. Consequently, one can reasonably expect that the σ-induced ΔS shifts appearing in Li3P and Li3As will be at least as large as estimated in Li3N37, and then trivially estimate a lower bound for the increase in cooling performance due to their decrease in heat capacity. We have performed first-principles quasi-harmonic calculations of the heat capacity (Methods) in Li3P and Li3As as a function of temperature (Supplementary Fig. 1), and found that at T = 300 K their C0’s are respectively 1.3 and 2.2 times smaller than the estimated in Li3N. In addition, the T-induced volume expansion \(\left( {\frac{{\partial V}}{{\partial T}}} \right)_\sigma\) in Li3As is about 1.4 times larger than the estimated in Li3N at room temperature (Supplementary Fig. 10). These results, namely, smaller C0’s and larger \(\left( {\frac{{\partial V}}{{\partial T}}} \right)_\sigma\)'s, suggest that giant adiabatic temperature changes (|ΔT| > 10 K) actually may be realized in lithium-based fast-ion conductors (see Eqs. (3) and (5) in Methods).

Our MC findings on Li3N should stimulate the development of room-temperature cooling devices based on fast-ion conductors, whose energy efficiency and refrigerant performance are good as compared to magneto and electrocaloric materials. Unlike other caloric materials, the MC effects revealed in Li3N are not driven by any σ-induced structural phase transition but instead by changes on its ionic conductivity. As a result either direct or inverse reversible MC effects can be achieved at room temperature, just depending on how the mechanical stresses are applied. Biaxial stresses are likely to render similar MC effects than obtained with uniaxial stresses, adding the particularity that compressive loads also can be accomplished20 (Supplementary Fig. 11). The original strategy introduced in this study for realizing large and reversible MC effects at room temperature is not exclusive of lithium-based fast-ion conductors, it should work equally well for any other family of materials exhibiting superionicity and robust structural stability at ambient conditions (e.g., solid oxide fuel cell materials).


Classical molecular dynamics simulations

MD (N,P,T) simulations are performed with the LAMMPS code38. The pressure and temperature in the system are kept fluctuating around a set-point value by using thermostatting and barostatting techniques in which some dynamic variables are coupled to the particle velocities and simulation box dimensions. The interactions between atoms are modeled with rigid-ion Born-Mayer-Huggins potentials39. We employ large simulation boxes, typically containing up to 8000 atoms, and apply periodic boundary conditions along the three Cartesian directions. Defective β-Li3N systems are generated by randomly removing a specific number of cations and anions from the system in order to reproduce the experimentally observed ionic conductivity data24 and to maintain the condition of charge neutrality. Newton’s equations of motion are integrated using the customary Verlet’s algorithm with a time-step length of 10−3 ps. The typical duration of a MD run is of 200 ps. A particle–particle particle–mesh k-space solver is used to compute long-range van der Waals and Coulomb interactions beyond a cut-off distance of 12 Å at each time step. We explicitly have checked that by creating point defects in an ordered manner and/or by increasing the total duration of the MD simulations up to 500 ps, our results remained invariant within the statistical uncertainties23. Further details of our classical MD simulations (e.g., interatomic potential models and parameters) can be found in the Supplementary Methods and Supplementary Table 1.

Density functional theory calculations

First-principles calculations based on density functional theory (DFT) are performed to analyze the energy, structural, vibrational, and ionic transport properties of Li3N. We perform these calculations with the VASP code40 by following the generalized gradient approximation to the exchange-correlation energy due to Perdew et al.41. Possible dispersion interactions are captured with the D3 correction scheme developed by Grimme and co-workers42. The projector augmented-wave method is used to represent the ionic cores43, and the electronic states 1s-2s of Li and 2s-2p of N are considered as valence. Wave functions are represented in a plane-wave basis truncated at 650 eV. By using these parameters and dense k-point grids for Brillouin zone integration, the resulting energies are converged to within 1 meV per formula unit. In the geometry relaxations, a tolerance of 0.01 eV·Å−1 is imposed in the atomic forces. Ab initio MD (AIMD) simulations are carried out to assess the reliability of the interatomic potential models employed in the classical MD simulations. Details of our AIMD tests can be found in the Supplementary Methods.

We also perform ab initio phonon frequency calculations with the small-displacement method in order to assess the vibrational stability of the analyzed systems and estimate their (vibrational) heat capacity. In the small-displacement method the force-constant matrix is calculated in real-space by considering the proportionality between atomic displacements and forces44,45,46. The quantities with respect to which our phonon calculations are converged include the size of the supercell, the size of the atomic displacements, and the numerical accuracy in the sampling of the Brillouin zone. We find the following settings to provide quasi-harmonic free energies converged to within 5 meV per formula unit46: 3 × 3 × 3 supercells (where the figures indicate the number of replicas of the unit cell along the corresponding lattice vectors), atomic displacements of 0.02 Å, and q-point grids of 14 × 14 × 14. The value of the phonon frequencies are obtained with the PHON code developed by Alfè45. In using this code we exploit the translational invariance of the system, to impose the three acoustic branches to be exactly zero at the center of the Brillouin zone, and apply central differences in the atomic forces.

Finally, we perform ab initio nudged-elastic band (NEB) calculations47 to estimate the kinetic energy barriers for lithium ion diffusion in Li3N under different hydrostatic pressure conditions (Supplementary Fig. 5). The calculations are performed in a 2 × 2 × 1 supercell contianing 32 atoms. We use a q-point grid of 7 × 7 × 10 and an energy plane-wave cut-off of 650 eV. Six intermediate images are used in our NEB calculations and the geometry optimizations are finalized once the total forces on the atoms are smaller than 0.01 eV·Å−1.

Estimation of key quantities

Ionic diffusion coefficients are calculated with the formula:

$$D_i = \mathop {{{\rm{lim}}}}\limits_{t \to \infty } \frac{{\left\langle {\left| {R_i\left( {t + t_0} \right) - R_i\left( {t_0} \right)} \right|^2} \right\rangle }}{{6t}} ,$$

where Ri(t) is the position of the migrating ion labeled as i at time t, t0 an arbitrary time origin, and \(\langle \cdots \rangle\) denotes average over time and particles. The mean squared displacement of each ionic species is defined as \(\left\langle {\Delta R_i^2\left( t \right)} \right\rangle \equiv \left\langle {\left| {R_i\left( {t + t_0} \right) - R_i\left( {t_0} \right)} \right|^2} \right\rangle\). Likewise, ionic conductivities are obtained with the well-known Nernst-Einstein relationship48:

$$\phi _i = \frac{{Ne^2D_i}}{{k_{\mathrm{B}}T}} ,$$

where N and e are the number density and charge of Li+ ions, respectively.

Isothermal entropy changes associated to the BC effect are estimated as1:

$$\Delta S\left( {\sigma _f,T} \right) = - {\int}_{0}^{\sigma _f} \left( {\frac{{\partial V}}{{\partial T}}} \right)_\sigma \mathrm{d}\sigma ,$$

where σf represents the applied hydrostatic pressure, and V the volume of the system. In the case of EC effects, the same quantity is calculated as1:

$$\Delta S\left( {\sigma _f,T} \right) = V_0 \cdot {\int}_{0}^{\sigma _f} \left( {\frac{{\partial \varepsilon }}{{\partial T}}} \right)_\sigma \mathrm{d}\sigma ,$$

where σf now represents the applied mechanical stress along the Cartesian z direction, ε the strain deformation that the system undergoes along the same direction (i.e., \(\varepsilon \left( {\sigma ,T} \right) \equiv \frac{{L_z\left( {\sigma ,T} \right) - L_z\left( {0,T} \right)}}{{L_z\left( {0,T} \right)}}\) where Lz corresponds to the length of the simulation box along the Cartesian z direction), and V0 the equilibrium volume of the system. Finally, the resulting adiabatic temperature shifts are estimated with the formula:

$$\Delta T\left( {\sigma _f,T} \right) = - \frac{T}{{C_0\left( T \right)}} \cdot \Delta S\left( {\sigma _f,T} \right),$$

where \(C_0\left( T \right) = \left( {\frac{{{\rm{d}}U}}{{{\rm{d}}T}}} \right)_{V_0}\) is the heat capacity of the crystal calculated at zero-stress conditions. Within the quasi-harmonic approximation44,45,46, this latter quantity can be calculated as:

$$C_0(T) = \frac{1}{{N_q}} \mathop {\sum}\limits_{{\bf{q}}s} \frac{{\left( {\hbar \omega _{{\mathbf{q}}s}} \right)^2}}{{k_{\mathrm{B}}T^2}} \times \frac{{\mathrm{e}^{\frac{{\hbar \omega _{{\mathbf{q}}s}}}{{k_{\mathrm{B}}T}}}}}{{\left( {\mathrm{e}^{\frac{{\hbar \omega _{{\mathbf{q}}s}}}{{k_{\mathrm{B}}T}}} - 1} \right)^2}},$$

where Nq is the total number of wave vectors used for integration in the Brillouin zone, the summation runs over all wave vectors q and phonon branches s, and ωqs are the phonon frequencies of the material at the equilibrium volume. Further technical details on our calculations can be found in the Supplementary Methods.

Data Availability

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

Additional information

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

Change history

  • 06 September 2018

    This Article was originally published without the accompanying Peer Review File. This file is now available in the HTML version of the Article; the PDF was correct from the time of publication.


  1. 1.

    Moya, X., Kar-Narayan, S. & Mathur, N. D. Caloric materials near ferroic phase transitions. Nat. Mater. 13, 439 (2014).

  2. 2.

    Pecharsky, V. K. & Gschneidner, K. A. Jr. Giant magnetocaloric effect in Gd5(Si2Ge2. Phys. Rev. Lett. 78, 4494 (1997).

  3. 3.

    Bonnot, E., Romero, R., Mañosa, Ll, Vives, E. & Planes, A. Elastocaloric effect associated with the martensitic transition in shape-memory alloys. Phys. Rev. Lett. 100, 125901 (2008).

  4. 4.

    Mañosa, Ll et al. . Giant solid-state barocaloric effect in the Ni-Mn-In magnetic shape-memory alloy. Nat. Mater. 9, 478 (2010).

  5. 5.

    Mañosa, Ll et al. . Inverse barocaloric effect in the giant magnetocaloric La-Fe-Si-Co compound. Nat. Commun. 2, 595 (2011).

  6. 6.

    Matsunami, D., Fujita, A., Takenaka, K. & Kano, M. Giant barocaloric effect enhanced by the frustration of the antiferromagnetic phase in Mn3GaN. Nat. Mater. 14, 73 (2015).

  7. 7.

    Tušek, J., Engelbrecht, K., Mañosa, Ll, Vives, E. & Pryds, N. Understanding the thermodynamic properties of the elastocaloric effect through experimentation and modelling. Shape Mem. Superelasticity 2, 317 (2016).

  8. 8.

    Cui, J. et al. Demonstration of high efficiency elastocaloric cooling with large ΔT using NiTi wires. Appl. Phys. Lett. 101, 073904 (2012).

  9. 9.

    Gorev, M., Bogdanov, E., Flerov, I. N. & Laptash, N. M. Thermal expansion, phase diagrams and barocaloric effects in (NH4)2NbOF5. J. Phys. Condens. Matter 22, 185901 (2010).

  10. 10.

    Gorev, M., Flerov, I. N., Bogdanov, E., Voronov, V. N. & Laptash, N. M. Barocaloric effect near the structural phase transition in the Rb2KtiOF5. Phys. Solid State 52, 377 (2010).

  11. 11.

    Corrales-Salazar, A., Brierley, R. T., Littlewood, P. B. & Guzmán-Verr, G. G. Landau theory and giant room-temperature barocaloric effect in MF3 metal trifluorides. Phys. Rev. Mater. 1, 053601 (2017).

  12. 12.

    von Ranke, P. J., Alho, B. P. & Ribeiro, P. O. First indirect experimental evidence and theoretical discussion of giant refrigeration capacity through the reversible pressure induced spin-crossover phase transition. J. Alloy Compd 749, 556 (2018).

  13. 13.

    Lloveras, P. et al. Giant barocaloric effects at low temperature in ferrielectric ammonium sulphate. Nat. Commun. 6, 8801 (2015).

  14. 14.

    Stern-Taulats, E. et al. Inverse barocaloric effects in ferroelectric BaTiO3. APL Mater. 4, 091102 (2016).

  15. 15.

    Rodriguez, E. L. & Filisko, F. E. Thermoelastic temperature-changes in poly(methyl methacrylate) at high hydrostatic-pressure-experimental. J. Appl. Phys. 53, 6536 (1982).

  16. 16.

    Bermúdez-García, J. M. et al. Giant barocaloric effect in the ferroic organic-inorganic hybrid [TPrA][Mn(dca)3] perovskite under easily accessible pressures. Nat. Commun. 8, 15715 (2017).

  17. 17.

    Bermúdez-García, J. M., Sánchez-Andújar, M. & Señarís-Rodríguez, M. A. A new playground for organic-inorganic hybrids: barocaloric materials for pressure-induced solid-state cooling. J. Phys. Chem. Lett. 8, 4419 (2017).

  18. 18.

    Aznar, A. et al. Giant barocaloric effects over a wide temperature range in superionic conductor AgI. Nat. Commun. 8, 1851 (2017).

  19. 19.

    Cazorla, C. & Errandonea, D. Giant mechanocaloric effects in fluorite-structured superionic materials. Nano Lett. 16, 3124 (2016).

  20. 20.

    Sagotra, A. K., Errandonea, D. & Cazorla, C. Mechanocaloric effects in superionic thin films from atomistic simulations. Nat. Commun. 8, 963 (2017).

  21. 21.

    Stern-Taulats, E. et al. . Giant multicaloric response of bulk Fe49Rh51. Phys. Rev. B 95, 104424 (2017).

  22. 22.

    Zarkevich, N. A., Johnson, D. D. & Pecharsky, V. K. High-throughput search for caloric materials: the CaloriCool approach. J. Phys. D Appl. Phys. 51, 024002 (2017).

  23. 23.

    Sagotra, A. K. & Cazorla, C. Stress-mediated enhancement of ionic conductivity in fast-ion conductors. ACS Appl. Mater. Interfaces 9, 38773 (2017).

  24. 24.

    Li, W. et al. Li+ ion conductivity and diffusion mechanism in α-Li3N and β-Li3N. Energy Environ. Sci. 3, 1524 (2010).

  25. 25.

    Alpen, U. V., Rabenau, A. & Talat, G. H. Ionic conductivity in Li3N single crystals. Appl. Phys. Lett. 30, 621 (1977).

  26. 26.

    Nazri, G. A., Julien, C. & Mavi, H. S. Structure of Li3X (X = N, P, As) superionic conductors: X-ray diffraction and FTIR studies. Solid State Ion. 70, 137 (1994).

  27. 27.

    Cazorla, C. & Errandonea, D. Superionicity and polymorphism in calcium fluoride at high pressure. Phys. Rev. Lett. 113, 235902 (2014).

  28. 28.

    Cazorla, C., Sagotra, A. K., King, M. & Errandonea, D. High-pressure phase diagram and superionicity of alkaline-earth metal difluorides. J. Phys. Chem. C 122, 1267 (2018).

  29. 29.

    Cui, S., Feng, W., Hu, H., Feng, Z. & Wang, Y. Structural transition of Li3N under high pressure: A first-principles study. Solid State Commun. 149, 612 (2009).

  30. 30.

    Yan, Y. et al. First-principles study of high pressure phase transformations in Li3N. Eur. Phys. J. B 61, 397 (2008).

  31. 31.

    Ho, A. C., Granger, M. K. & Ruoff, A. L. Experimental and theoretical study of Li3N at high pressure. Phys. Rev. B 59, 6083 (1999).

  32. 32.

    Hull, S. & Keen, D. A. Effect of hydrostatic pressure on the crystal structure and superionic behavior of lead (II) fluoride. Phys. Rev. B 58, 14837 (1998).

  33. 33.

    Kant, K. M., Esposito, V. & Pryds, N. Strain induced ionic conductivity enhancement in epitaxial Ce0.9Gd0.1O2−δ thin films. Appl. Phys. Lett. 100, 033105 (2012).

  34. 34.

    Petrie, J. R. et al. Strain control of oxygen vacancies in epitaxial strontium cobaltite films. Adv. Funct. Mater. 26, 1564 (2016).

  35. 35.

    O’Rourke, C. & Morgan, B. J. Interfacial strain effects on lithium diffusion pathways in the spinel solid electrolyte Li-doped MgAl2O4. Phys. Rev. Mater. 2, 045403 (2018).

  36. 36.

    Miller, T. A. et al. The mechanism of ultrafast structural switching in superionic cooper (I) sulphide nanocrystals. Nat. Commun. 4, 1369 (2013).

  37. 37.

    Urban, A., Seo, D.-H., & Ceder, G. Computational understanding of Li-ion batteries. NPJ Comput. Mater. 2, 16002 (2016).

  38. 38.

    Plimpton, S. J. Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117, 1–19 (1995).

  39. 39.

    Wolf, M. L., Walker, J. R. & Catlow, C. R. A. A molecular dynamics simulation study of the superionic conductor lithium nitride: I. J. Phys. C Sol. Stat. Phys. 17, 6623 (1984).

  40. 40.

    Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169 (1996).

  41. 41.

    Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865 (1996).

  42. 42.

    Grimme, S., Antony, J., Ehrlich, S. & Krieg, S. 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).

  43. 43.

    Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953 (1994).

  44. 44.

    Kresse, G., Furthmüller, J. & Hafner, J. Ab initio force constant approach to phonon dispersion relations of diamond and graphite. Europhys. Lett. 32, 729 (1995).

  45. 45.

    Alfè, D. PHON: a program to calculate phonons using the small displacement method. Comp. Phys. Commun. 180, 2622 (2009).

  46. 46.

    Cazorla, C. & Íñiguez, J. Insights into the phase diagram of bismuth ferrite from quasiharmonic free-energy calculations. Phys. Rev. B 88, 214430 (2013).

  47. 47.

    Henkelman, G., Uberuaga, B. P. & Jonsson, H. A climbing image nudged elastic band method for finding saddle points and minimum energy paths. J. Chem. Phys. 113, 9901 (2000).

  48. 48.

    Jalem, R. et al. Effects of gallium doping in garnet-type Li7La3Zr2O12 solid electrolytes. Chem. Mater. 27, 2821 (2015).

Download references


This research was supported under the Australian Research Council’s Future Fellowship funding scheme (No. FT140100135). Computational resources and technical assistance were provided by the Australian Government and the Government of Western Australia through Magnus under the National Computational Merit Allocation Scheme and The Pawsey Supercomputing Centre.

Author information


  1. School of Materials Science and Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia

    • Arun K. Sagotra
    • , Dewei Chu
    •  & Claudio Cazorla


  1. Search for Arun K. Sagotra in:

  2. Search for Dewei Chu in:

  3. Search for Claudio Cazorla in:


A.K.S, D.C., and C.C. conceived the study and planned the research. A.K.S. and C.C. performed the theoretical calculations. Results were discussed by A.K.S., D.C., and C.C. The manuscript was written by A.K.S. and C.C. with substantial input from D.C.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Claudio Cazorla.

Electronic supplementary material

About this article

Publication history






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.