Electronegativity is a fundamental concept in chemistry. Despite its importance, the experimental determination has been limited only to ensemble-averaged techniques. Here, we report a methodology to evaluate the electronegativity of individual surface atoms by atomic force microscopy. By measuring bond energies on the surface atoms using different tips, we find characteristic linear relations between the bond energies of different chemical species. We show that the linear relation can be rationalized by Pauling’s equation for polar covalent bonds. This opens the possibility to characterize the electronegativity of individual surface atoms. Moreover, we demonstrate that the method is sensitive to variation of the electronegativity of given atomic species on a surface due to different chemical environments. Our findings open up ways of analysing surface chemical reactivity at the atomic scale.
Electronegativity, an important theoretical concept in chemistry, was originally defined by Linus Pauling as ‘the power of an atom in a molecule to attract electrons to itself’1,2. Since that time, various classical scales of electronegativity have been suggested3,4,5,6, including the rigorous modern formalism of absolute electronegativity developed along with density functional theory (DFT)7. In contrast, conventional experimental means for measuring electronegativity have been limited to thermochemical techniques, that is, the measurement of ensemble-averaged bond energies8. On the other hand, atomic force microscopy (AFM) was able to achieve atomic resolution on both semiconductor9 and insulator10 surfaces. It has also found numerous applications in the field of chemistry: for example, quantitative measurement of short-range chemical forces11, chemical identification of individual surface atoms12, visualization of the internal structures of organic molecules13,14,15,16 and metal clusters17, discrimination of the Pauling bond order18,19 and tracking of surface chemical reactions20,21.
Here, we extend this already impressive suite of applications by demonstrating the use of AFM in characterizing the electronegativity of individual surface atoms. Pauling’s electronegativity values for individual single atoms on surfaces can be estimated using site-specific energy spectroscopy acquired with a variety of AFM tips. Namely, we show that the binding energies for individual surface atoms observed using different tips can provide an ensemble of data that can be used later to determine the electronegativity of different chemical elements or chemical groups on a surface (Fig. 1a). Our experimental findings are supported by theoretical analysis based on DFT calculations.
Scatter plots of the bond energies
We demonstrate the concept using a prototypical Si(111)-(7 × 7) surface with different local impurities (Supplementary Figs 1–5; Supplementary Methods 1). To characterize the Pauling electronegativity, we acquired bond energies by detecting the frequency shift (Δf) from the resonant frequency (f0) of an oscillated Si cantilever at room temperature (Methods). As an example, we show tip-surface distance dependences of Δf (Δf(z) curves) measured on Si and O adatoms on the Si(111)-(7 × 7) surface in Fig. 1b. As seen in the inset of Fig. 2d, locally formed silicon oxide has a tetrahedral SiO4 structure, which is typical for the basic unit of silicate and stable even at room temperature22. By converting the Δf(z) curves to a short-range energy-distance curves (E(z); see Methods), we were able to obtain minimum potential energies (bond energies) on Si and O as shown in Fig. 1c. Note that represents one of the strongest single polar covalent bonds ∼3 eV. Once the tip apex was deliberately changed by a tip-modification method, for example, mild contact with the sample surface, the magnitudes of and were altered. This tip preparation method ensures that the tip apex would most likely be made of Si. Next, we investigated various sets of and by changing the tip state and then made a scatter plot of the bond energies as shown in Fig. 2d. Similarly, we investigated scatter plots of the bond energies associated with Ge, Sn and Al adatoms on the Si(111)-(7 × 7) surface (Fig. 2a–c). Remarkably, all the scatter plots showed linear relations. Fitting with a straight line, we were able to extract the slopes and intercepts as summarized in Tables 1 and 2.
Interpretation of the linear relations by Pauling’s equation
We rationalized the linear relation between the bond energy of tip apexes and different surface atoms by employing Pauling’s equation for the bond energy EA–B of heterogeneous polar bonds between atoms A and B1,2:
where EA–A (EB–B) represents the energy of homogeneous bond A–A (B–B); and ΔA–B are covalent and ionic energy parts of EA–B, respectively. Thus, based on heterogeneous bond energies between the tip-termination atom and target X and reference Si atoms on the surface, which were experimentally obtained using the energy spectroscopy as described above, we deduced the following equation (Supplementary Note 1):
The homogeneous bond energy EX–X will be discussed next using theoretical models. According to the Pauling theory, the term Δtip−X represents the ionic energy stemming from the difference in electronegativity between the tip and the target atom X. In this context, the linear dependence observed in Fig. 2 can be interpreted as an experimental confirmation of the validity of Pauling’s equation (1) for the electronegativity scale.
Chemical identification by the slopes
Table 1 shows experimentally determined slopes in the scatter plots of the bond energies. Interestingly, the slope for the Ge and Sn adatoms match the interaction ratios of the maximum attractive forces of the same atomic species determined previously12,23,24. As discussed in ref. 12, the interaction ratio of the maximal forces (or similarly the minimum energies) represents the ‘fingerprint’ of the chemical identities. If there is no electronegativity difference between the tip and the target atom X, the term Δtip−X in equation (2) vanishes and the following relation holds: . To verify this relation, we calculated the homogeneous bond energies EX−X and the related theoretical slopes (Table 1) for various elements (including ESi−Si) by modelling the interactions between simple mirror-geometry clusters (Supplementary Fig. 6; Supplementary Methods 2). Notably, all calculated values reproduced very well the experimental slopes. Thus, the values of slopes in the scatter plots characterize the covalent bond energy of target X adatoms with tip renormalized by the ESi−Si bonding energy. We should stress that the previous chemical identification method12 holds only for elements having very similar electronegativity. By contrast, the present identification method based on scatter plots of the bond energies is applicable to arbitrary elements with divergent electronegativity.
Electronegativity determination by the intercepts
Equation (2) indicates that the intercepts in the scatter plots of the bond energies can be interpreted as the ionic energies, which are correlated with electronegativity values of the tip and the X atoms through the equation of (refs 1, 2). Since atomically sharp tips were prepared by intentional poking into clean regions of the Si surfaces, we assume that their apexes are terminated with Si atoms such that individual are almost the same magnitude as that of an Si adatom on the Si(111)-(7 × 7) surface. This assumption is justified by the experimental facts that all the scatter plots in Fig. 2 demonstrate the linear relation (Supplementary Figs 7 and 8; Supplementary Note 2), and by theoretical calculations, in which Si–tip models mimicking a surface Si adatom can provide good agreement with experimental evidences25. We find the total-energy DFT calculations simulating few Si–tip models (Supplementary Fig. 9) interacting with the Si(111)-7 × 7 slab surface can reproduce well bond energies regarding with Ge, Al and SiO2 (discussed later) acquired with tips having large bonding energy >1.0 eV (Supplementary Fig. 10). However, slopes and intercepts estimated only with the theoretical plots do not reproduce exactly the experimental values. We attributed this discrepancy to statistical uncertainty due to very small number of calculated points corresponding to only five highly reactive Si–tip models (for more details, see Supplementary Note 3).
We should note, from the equation of , it is evident that only difference between electronegativities of the reference Si tip and target X can be directly determined within the experimental precision. Thus, we need calibration of the reference electronegativity for a quantitative comparison of obtained electronegativity values with those tabulated in the periodic table. Throughout this report, we deliberately assume in accordance with the definition in Pauling’s electronegativity scale1,2.
To determine the electronegativity values of individual target X adatoms from the relation , we have to know the sign of the electronegativity differences ( in Table 2). This information is not a priori accessible from the present experimental approach. One possibility is to stick with a ‘chemical intuition’, when the chemical origin of the impurities is known (for example, Al is less electronegative than Si). Another one is ‘classical’ approach to compare a scatter plot obtained by Si tips with another plot acquired by chemically different (such as Al-terminated) tips whose electronegativity is diverged from . We expect that future work with at least two chemically different tips would give us a clue for the sign of electronegativity differences. For an alternative approach, we consider the modern definition of electronegativity26, where the electronegativity is directly related to the chemical potential μ (that is, work function): , where E and N represent the total electronic energy and number of electrons, respectively. In the case of surfaces, the electronegativity χ can be replaced with a local variation of the work function on a given surface site. The variation of the work function on surfaces with atomic-scale resolution can be estimated by Kelvin probe force microscopy (KPFM)27. Unfortunately, the presence of artefacts at close tip–sample distances hampers the reliable interpretation of a KPFM signal at the minimum potential energy28. Thus, here, we opted for a theoretical evaluation of the local work functions analysing the Hartree potential (VH(z)) obtained from DFT calculations. We believe, however, that the advancement of KPFM should allow us to determine the sign of the electronegativity difference exclusively by experimental measurements in the near future.
Total-energy DFT simulations reveal that the adatoms of various elements on a Si(111)-(7 × 7) surface show variations of local density of states (Supplementary Fig. 11) and electron density (Supplementary Fig. 12) near the Fermi energy, and of VH(z) above the inspected adatom (Supplementary Fig. 13). Figure 3a displays the calculated one-dimensional profiles of VH(z) along the z axis, representing the local work functions above the Si, Ge, Sn, Al and O adatoms. Interestingly, the local work functions at a z-distance of 3–4 Å above Ge and Sn adatoms are very similar to that of a Si adatom. This observation together with the lack of an intercept in the experimental scatter plots of Ge and Sn (Fig. 2a,b) apparently confirms the above assumption that is close to ; that is, (Table 2). On the other hand, the local work functions of Al and O show effectively lower and higher values, respectively, than the Si adatom shown in Fig. 3a. This means and , and the electronegativities of Al and O become 1.24±0.04 and 3.07±0.07, respectively. These values are in very good agreement with Pauling’s electronegativities (Table 2).
Evaluation of group electronegativity
In general, the electronegativity of surface atoms (here, Si adatoms) can be modified by their surrounding environments: for example, structural and chemical rearrangement of local structures, charge transfer from the neighbouring atoms and re-hybridization of orbitals. Previously, this information has not been experimentally accessible. From this perspective, the present method provides a unique opportunity to obtain electronegativity values for specific surface atoms in different local chemical structures. To demonstrate such sensitivity towards group electronegativity, we carried out measurements on a ‘SiO2’ structure (Fig. 2e), where two O atoms are inserted into the back bonds of an Si adatom22, and on a ‘SiNO’ structure (Fig. 2f) created from dissociated O and N atoms (Supplementary Methods 1). Local atomic arrangements obtained from the total-energy DFT calculations of the SiO2 and SiNO structures are presented in Fig. 3c,d, respectively.
Although the topmost atom of the SiO2 configuration is Si, the scatter plot of bond energies for SiO2 (Fig. 2e) clearly shows an intercept of 0.26±0.08 eV. To understand the presence of the intercept, we analysed the variation of VH(z) for SiO2. Figure 3a,e,f shows that the local work function above the Si adatom in the SiO2 configuration is higher than that for the pure Si adatom, that is, . Consequently, we can estimate the electronegativity of the Si adatom in SiO2 to be 2.25±0.07, and thus more electronegative than that of pure Si (Table 2). It is worth noting that while the intercept appears, the slope remains close to 1. Thus, it is evident that the local charge transfer in the SiO2 structure between the Si adatom and adjacent O atoms changes the ionic energy term Δ but leaves the covalent bond energy almost unaffected. This effect makes sense given that the dangling bond on the Si adatom of SiO2 maintains an sp3 hybridization very similar to that of an Si adatom on a clean surface (Fig. 3b,c), but with a different charge density.
The case of SiNO is more complex. Experimentally, the scatter plot of bond energies for SiNO (Fig. 2f) shows an intercept of 0.76±0.12 eV. The magnitude of the experimental slope is far from unity, as is the theoretical slope for SiNO (Table 1). This reveals that the atomic and electronic structure of the SiNO complex differs from that of a bare Si adatom and/or that the neighbouring N atom as well as the Si atom is involved in the chemical interaction with the Si atom at the tip apex. Indeed, according to the DFT calculations the atomic structure of the SiNO complex is different from the Si adatom, as shown in Fig. 3b,d. The highest occupied frontier orbital of the SiNO structure is delocalized between the Si, N and O atoms (Fig. 3d). Therefore, one should consider the whole structure instead of individual atoms in the electronegativity analysis. To determine the sign of , we analysed the spatial distribution of VH(z) over the SiNO structure. Figure 3g shows the result: the work function is maximal at the N atom of SiNO (Fig. 3a), and monotonically decreases towards the Si atom but still remains slightly higher at the relevant z-distance than it is over the pure Si adatom; hence, . Accordingly, we determined the experimental electronegativity of the SiNO structure to be 2.57±0.06. Compared to the conventional Pauling’s electronegativities of Si(1.8) and N(3.0), the obtained electronegativity of the SiNO structure reflects its intermediate character. In sum, the analysis of the SiNO and SiO2 complexes indicates that AFM is able to determine the group electronegativity.
In conclusion, we have presented here a method that, for the first time to our knowledge, allows experimental characterization of the electronegativity of individual surface atoms by means of AFM. We have found that the scatter plots of the bond energies can be interpreted based on Pauling’s equation for polar covalent bonds. This allowed us to disentangle the covalent and ionic bond energies in polar covalent bonds, and hence to estimate the electronegativity of the individual elements. In addition, this method facilitates analysis of the group electronegativity of atoms belonging to locally formed nanostructures. We expect that the present method can be applied to other interesting systems such as transition metal oxides used in catalysis by terminating AFM tips with known atoms on the surface. Furthermore, we believe that the method can not only characterize the specific electronegativity of individual atoms, defects, adsorbates and dopant impurities on surfaces but may also open up new ways of analysing surface chemical reactivity in terms of surface electrophilicity/nucleophilicity against reactants29, and surface chemical softness/hardness with regard to the hard–soft acid–base principle26,30.
Atomic force microscopy
All experiments were carried out using a custom-built ultrahigh-vacuum AFM system at room temperature with a typical base pressure of 5 × 10−9 Pa. An optical interferometer was equipped to detect the cantilever deflection. Frequency-modulation technique was used for obtaining Δf. We used commercial Si cantilevers, whose tip apexes were cleaned by Ar ion sputtering to remove the native oxidation layers. The cantilever was oscillated with sufficiently large amplitude (A∼100 Å) for stable AFM operation. We chose the Si(111)-(7 × 7) surface as playground for the purpose of the present experiments since the surface had many Si adatoms on which atoms at tip apex were replaced by mild contact. To compensate a contact potential difference between tip and sample, we properly applied VS to the sample while keeping the tip bias at ground.
Site-specific energy spectroscopy
When we performed site-specific energy spectroscopy, thermal drift was compensated by feed-forward technique31 and the precision of lateral position of the point spectroscopy became better than ±0.1 Å, both of which were realized by our atom-tracking implementation32. After recording several Δf(z) curves on an adatom of interest, we averaged them to a single Δf(z) curve for converting to E(z). Note that energy dissipation during the spectroscopy was negligible. For eliciting accurate bond energies exerted on the foremost tip atom and surface adatoms, we subtracted the background Δf(z) curve (Fig. 1b; Supplementary Methods 1), which is obtained by analytically fitting a Δf(z) curve measured on a corner hole site11,12, from Δf(z) curves on the individual target and reference adatom sites. Finally, the Δf(z) curves only containing the short-range contribution were converted to E(z) using the inversion procedure suggested by Sader and Jarvis33.
Density functional theory calculations
All DFT calculations have been done using the Vienna Ab-Initio Simulation Package (VASP 4.6)34,35, which is a pseudopotential plane-wave code. The basic versions of ultrasoft Vanderbilt pseudopotentials36,37 supplied with VASP were used for all chemical elements involved (Si, H, O, N, Al and Ge) apart from Sn, for which the Snd potential that includes d-electrons as valence electrons was adopted. The PW91 implementation of the generalized gradient approximation38 was chosen to describe the exchange-correlation functional. The size of the plane-wave basis was determined by the cutoff energy of 300 or 396 eV. Only the central (Gamma) point of the first Brillouin zone was considered for the Bloch-wave solutions.
The data that support the findings of this study are available from the corresponding author on reasonable request.
How to cite this article: Onoda, J. et al. Electronegativity determination of individual surface atoms by atomic force microscopy. Nat. Commun. 8, 15155 doi: 10.1038/ncomms15155 (2017).
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This work was supported by Grants-in-Aid for JSPS Fellows (14J00689) and for Scientific Research (15H03566, 16H00933, 16H00959, 16K13680, 16K17482) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (MEXT). We also acknowledge financial support from the Asahi Glass Foundation, the Mitsubishi Foundation, the Yamada Science Foundation, Ube foundation, and the Precise Measurement Technology Promotion Foundation. P.J. and M.O. acknowledge financial support of GACR (Czech Science Foundation) under Project no. 14-16963J and Czech Academy of Sciences through Praemium Academiae award.
The authors declare no competing financial interests.
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Onoda, J., Ondráček, M., Jelínek, P. et al. Electronegativity determination of individual surface atoms by atomic force microscopy. Nat Commun 8, 15155 (2017). https://doi.org/10.1038/ncomms15155