Open Access
ARTICLE
Delocalized Nonlinear Vibrational Modes in Bcc Lattice for Testing and Improving Interatomic Potentials
1 Institute of Physics, Southern Federal University, 194 Stachki Ave., Rostov-on-Don, 344090, Russia
2 Institute of Molecule and Crystal Physics, UFRC of Russian Academy of Sciences, 151 Oktyabrya Ave., Ufa, 450075, Russia
3 Research Laboratory for Metals and Alloys Under Extreme Impacts, Ufa University of Science and Technology, 32 Zaki Validi Str., Ufa, 450076, Russia
4 MinJiang Collaborative Center for Theoretical Physics, College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, 350108, China
5 Bashkir State Medical University, 3 Lenin Str., Ufa, 450008, Russia
6 Ufa State Petroleum Technological University, 1 Kosmonavtov Str., Ufa, 450062, Russia
* Corresponding Author: Sergey V. Dmitriev. Email:
Computers, Materials & Continua 2025, 82(3), 3797-3820. https://doi.org/10.32604/cmc.2025.062079
Received 09 December 2024; Accepted 01 February 2025; Issue published 06 March 2025
Abstract
Molecular dynamics (MD) is a powerful method widely used in materials science and solid-state physics. The accuracy of MD simulations depends on the quality of the interatomic potentials. In this work, a special class of exact solutions to the equations of motion of atoms in a body-centered cubic (bcc) lattice is analyzed. These solutions take the form of delocalized nonlinear vibrational modes (DNVMs) and can serve as an excellent test of the accuracy of the interatomic potentials used in MD modeling for bcc crystals. The accuracy of the potentials can be checked by comparing the frequency response of DNVMs calculated using this or that interatomic potential with that calculated using the more accurate ab initio approach. DNVMs can also be used to train new, more accurate machine learning potentials for bcc metals. To address the above issues, it is important to analyze the properties of DNVMs, which is the main goal of this work. Considering only the point symmetry groups of the bcc lattice, 34 DNVMs are found. Since interatomic potentials are not used in finding DNVMs, they are exact solutions for any type of potential. Here, the simplest interatomic potentials with cubic anharmonicity are used to simplify the analysis and to obtain some analytical results. For example, the dispersion relations for small-amplitude phonon modes are derived, taking into account interactions between up to the fourth nearest neighbor. The frequency response of the DNVMs is calculated numerically, and for some DNVMs examples of analytical analysis are given. The energy stored by the interatomic bonds of different lengths is calculated, which is important for testing interatomic potentials. The pros and cons of using DNVMs to test and improve interatomic potentials for metals are discussed. Since DNVMs are the natural vibrational modes of bcc crystals, any reliable interatomic potential must reproduce their properties with reasonable accuracy.Keywords
Molecular dynamics (MD) method is a powerful tool for the analysis of crystal lattice defects, phase transitions, and mechanical properties of solids. The success of the method is related to advances in the development of accurate interatomic potentials, as reflected in the following reviews [1–4], including reactive potentials [5] and those for modeling ceramics, glass, and electrolytes [6]. Recently, machine learning techniques have been used to improve the accuracy of interatomic potentials, typically by training on first-principles results for random atomic configurations [7,8].
Since in this work the bcc lattice is analyzed, it is important to describe the works devoted to metals with this lattice symmetry. MD method has been successfully used for modeling bcc metals, in particular, the dislocations and Peierls barrier [9–13], diffusion properties [14–17], cleavage [13,18], properties of bcc iron [19], vanadium [20], tungsten [21–23], tantalum [24], zirconium and uranium [25], phase transitions in iron [26], scandium [27], lithium [28] and magnesium [29], crack propagation [30], mechanical behavior of nanowires [31], vacancy clusters [32], structure of twin boundary [33], radiation damage [34,35], surface energy [36], atomistic fracture [37], grain boundary structure and mobility [38,39], melting [40], and magnetic properties [41–43]. The accuracy of interatomic potentials has been analyzed for carbon polymorphs and metal-graphene composites [44–47].
Work on the further improvement of interatomic potentials for metals continues [48–51], with one of the main problems being the finding of the data set for potential training. In this paper, the properties of the exact solutions of the equations of atomic motion in the bcc lattice are analyzed and offered for testing and improving the interatomic potentials, as described in the works [52,53].
Crystal lattices admit exact dynamical solutions in the form of delocalized nonlinear vibrational modes (DNVMs). Such solutions can be derived considering only the space symmetry group of the lattice [54–57] and thus exist for any type of interatomic interactions even at large amplitudes.
Let us describe some important literature where DNVMs have been constructed and analyzed for different lattices. An
DNVMs can be used efficiently to check the quality of interatomic potentials [52,71], and to solve this problem for metals, long-range interactions should be taken into account. This follows from the nature of the metallic bonds, since the outermost electron shell of the metal atoms overlaps with a large number of neighboring atoms.
An important feature of this work is that the interactions are considered up to the fourth neighbor, and it is relevant to describe some works where the effect of long-range interactions has been studied. The long-range interactions have been included in many papers analyzing nonlinear lattice dynamics. In particular, long-range interactions have been taken into account in the study of discrete breathers in DNA [72–76], in chains with Coulomb forces [77,78] and dispersive interactions [79]. The effect of long-range interactions on heat transport in chains has been addressed in the works [80,81]. The mobility of discrete breathers increases in the lattices with long-range interactions [82,83].
Phonon dispersion curves are very informative in characterizing crystal lattice dynamics and many studies have been done for bcc metals, let us mention some of them. The dispersion curves are often used to test and fit interatomic potentials, see for example the work [84,85] dealing with the bcc alkali metals Li, Na, K, Rb, and Cs as well as the work [86] devoted to the bcc transition metals Cr, Fe, Mo, Nb, Ta, V, and W. Elastic anisotropy and temperature-dependent phonon dispersion for bcc Fe and W have been studied by molecular dynamics simulations [87]. The first-principles study of the phonon spectra for highly compressed Sb has shown that the stability of the bcc structure increases with pressure [88]. The choice of interatomic potentials to model the metastable bcc polymorph of Mg, taking into account the phonon dispersion curves and other properties, has been discussed in [89]. Molecular dynamics simulations with machine learning potential have been performed for the high-temperature bcc phase of zirconium [90]. The ab initio study of the dispersion curves of bcc transition metals (vanadium and niobium) has demonstrated the importance of considering the supercell of sufficiently large size [91].
In view of the aforementioned interest in the phonon dispersion of the bcc lattice in metals, here we derive analytically the phonon dispersion relation for the bcc lattice taking into account the interactions up to the fourth neighbor. Then the 34 DNVMs are introduced, their wavevectors are given, and the frequency in the small amplitude limit is calculated analytically. The frequency response of the DNVMs is calculated numerically, assuming that the atoms interact via the
The main goal of this work is to describe the properties of the DNVMs, which are the family of exact large-amplitude vibrational solutions for the bcc lattice. These solutions can be used to test the accuracy of the interatomic potentials of crystals with this lattice. The accuracy of the potentials can be checked by comparing the frequency response of DNVMs calculated with this or that interatomic potential with that calculated using the more accurate ab initio approach. The choice of the
The bcc lattice and the computational model are described in Section 2, then the DNVMs with the wavevectors at the boundary of the first Brillouin zone are presented in Section 3, the phonon dispersion relation for the lattice is derived and analyzed in Section 4, the distribution of the potential energy over the bonds of different length is discussed in Section 5, the frequency response of some DNVMs in cubic approximation is derived in Section 6. The results are discussed and summarized in Section 7.
A three-dimensional body-centered cubic (bcc) lattice with up to the fourth nearest neighbor interactions is analyzed, see Fig. 1. The lattice parameter is
where

Figure 1: Body-centered cubic lattice with lattice parameter
The displacement of the particle
Each particle interacts with four nearest neighbors via the
where
In the simulations, the following values of the linear stiffness parameters are assumed to satisfy Eq. (3):
In crystals, anharmonicity plays a prominent role when the displacements of the atoms are about 10% of the interparticle distance. With this in mind, the following values are used for the nonlinear stiffness coefficients:
The particle mass is
There are
The Hamiltonian of the considered lattice is the sum of the kinetic energy of the particles and the potential energies of the bonds up to the fourth neighbors:
where derivative with respect to time is denoted by the overdot and the vectors
The following equations of motion can be derived from the Hamiltonian Eq. (6):
where
The size of the computational cell to study the zone-boundary DNVMs is equal to

Figure 2: The coordinates of the atoms within the cubic translational cell, which has dimensions of
The symplectic Störmer method of sixth order [92] is employed in this study to solve numerically the equations of motion Eq. (7). It is sufficient to take the integration step of 0.001 time units, as found in the test numerical runs.
3 Zone-Boundary DNVMs of bcc Lattice
A class of lattice symmetry dictated exact solutions to the nonlinear equations of motion of the bcc lattice is presented here. In the pioneering works such solutions were called bushes of nonlinear normal modes (BNNMs) [93], but in the context of crystal lattices the term DNVMs is often used.
The zone-boundary DNVMs are excited by giving the particles initial displacements according to certain patterns shown in Figs. 3 through 9. The initial velocities of the particles are zero. Trajectories of vibrating particles are shown in black. For particles represented by empty circles, the

Figure 3: Three DNVMs of group G1. The coordinates of the lattice positions of the atoms are presented in Fig. 2
All DNVMs are single degree of freedom vibrational modes. This means that the length of the initial displacement vector is either zero or A, the latter being the DNVM amplitude. The particles with zero initial displacement remain at rest while other particles oscillate.
All DNVMs are divided into seven groups, designated G1 through G7. Numerically determined frequency responses for the DNVMs are shown in Fig. 10 (groups G1, G2, and G3), Fig. 11 (groups G4 and G5), and Fig. 12 (groups G6 and G7) for the model parameters given by Eqs. (4) and (5). As can be seen in Figs. 10–12, DNVMs belonging to the same group have the same vibration frequency in the small amplitude limit. For large amplitudes, the frequency of modes in the same group is different. Different DNVMs of the same group have the same small amplitude vibration frequencies because more complex DNVMs are superpositions of a simple DNVM. For example, DNVM G1b in Fig. 3 is a superposition of DNVM G1a and its rotation by
To obtain the analytical expressions for the DNVM frequencies in the small amplitude limit, the phonon dispersion relation is derived from the linearized equations of motion. Such equations of motion can be derived from Eq. (7) under the assumption
where
From the condition of zero determinant, one finds the following cubic in
The cubic in
The dispersion relations along the high symmetry lines of the first Brillouin zone are plotted in Fig. 13. The linear stiffness coefficients here and in the following are given by Eq. (4). Frequencies of different groups of DNVMs in the small-amplitude limit are indicated in blue. The frequencies and the wavevectors of DNVMs are listed in Table 1.

Substituting the wavevectors
The group G1 DNVMs in the small-amplitude limit have frequency
Similar result for the group G2 DNVMs is
For the group G3 DNVMs, one has
For the group G4 DNVMs, the frequency of small-amplitude vibrations is
The group G5 DNVMs in the small-amplitude limit have frequency
For the group G6 DNVMs, the result is
Finally, the group G7 DNVMs in the small-amplitude limit have frequency
It is important to note that only DNVMs from groups G1 and G3 exhibit frequencies that are contingent on all four stiffnesses,
As outlined in Section 4, the small-amplitude vibration frequencies of certain groups of DNVMs depend not on all stiffness coefficients. To further investigate the different contributions of different bonds to the DNVM dynamics, the fraction of the total potential energy stored by the bonds of different lengths is calculated for all DNVMs. This is done for the two values of the displacement of the atoms from the lattice positions,


As can be seen from Table 2, different bonds contribute differently to the small-amplitude vibrations of DNVMs of different groups, and this contribution correlates with the coefficients in the analytical expressions for DNVM frequencies, Eq. (14) through Eq. (20). The result for the DNVMs belonging to the same group is identical, if the vibration amplitude is small. For the large amplitude vibrations, as can be seen from Table 3, the result is different for different DNVMs of the same group; this is the effect of anharmonicity. Nevertheless, the second- and third-neighbor bonds are not deformed when the G2 group DNVMs are excited even at large amplitudes. The same can be said about the third-neighbor bonds when G6 group DNVMs are excited.
6 Analytical Results for DNVMs
DNVM is an oscillatory mode with one degree of freedom. The displacement of any moving particle from its equilibrium position,
Considering a translational cell of the considered DNVM, the kinetic and potential energies per atom are calculated taking into account the displacement pattern of the particles, see Fig. 3, when the distance of the moving particles from the lattice positions is equal to
Note that in DNVM G1a only half of the atoms are vibrating and the other half are at rest, so the effective mass is equal to
An approximate solution to Eq. (22) includes the third harmonic correction to the main harmonic,
Similarly, the Hamiltonian for DNVM G2b is
Therefore, the cubic equation of motion is
and the frequency response for DNVM G2b is
Analogously, the Hamiltonian for DNVM G2c has the form
The cubic equation of motion is
The frequency response for DNVM G2c is
Finally, the Hamiltonian for DNVM G6b is
The equation of motion for DNVM G6b is
The frequency response for DNVM G6b is
6.5 Discussion of the Analytical Results
A comparison of the analytical expressions for the frequency response with the numerical results is given for the four DNVMs analyzed in Fig. 14. The result is quite good, as the difference between the cubic approximation and the numerical result is only noticeable for
As can be seen from Fig. 14, the vibrational frequency of DNVMs depends on the amplitude, and there are two reasons for this. The first is the effect of the anharmonicity of the interparticle interactions,
The deviation of the analytical results from the numerically found frequency response observed in Fig. 14 is due to the fact that in the Hamiltonians Eqs. (21), (24), (27), and (30) the terms higher than quartic are omitted and therefore the analytical results are approximate and their accuracy is high only for not very large vibration amplitudes.
Note that for each DNVM, the harmonic part of the frequency response matches the result of the linear analysis. This can be seen by comparing the harmonic part of Eq. (23) with Eq. (14), the harmonic parts of Eqs. (26) and (29) with Eq. (15), as well as the harmonic part of Eq. (32) with Eq. (19). It can also be noticed that the frequency responses of DNVMs belonging to the same group coincide in the small amplitude limit, but deviate as the vibration amplitude increases, compare Eqs. (26) and (29) obtained for the two DNVMs of group G2.
Notably, the frequency responses of the G2 group DNVMs do not depend on the parameters of the second and third neighbor bonds even for large vibration amplitudes. Similarly, the frequency responses of the G6 group DNVMs do not depend on
In short, for the first time, the linear and nonlinear dynamics of the bcc lattice have been analyzed considering long-range interactions, which is important for metals. The phonon dispersion relation was derived analytically. The properties of the exact nonlinear vibrational solutions, called DNVMs, have been analyzed analytically and numerically and offered as a dataset for training the machine learning interatomic potentials for bcc metals.
In more detail, the exact solutions of the equations of motion of the

Figure 4: Three DNVMs of group G2

Figure 5: Four DNVMs of group G3

Figure 6: Four DNVMs of group G4

Figure 7: Five DNVMs of group G5

Figure 8: Five DNVMs of group G6

Figure 9: Ten DNVMs of group G7
The linear equations of motion of the bcc lattice have been obtained taking into account up to the fourth-neighbor interactions, see Eqs. (A6) to (A8). The phonon dispersion relation for the bcc lattice with long-range interactions has been derived, see Eq. (13) with the coefficients defined by Eqs. (11) and (12). The wavevectors of the DNVMs in the first Brillouin zone have been specified, see Table 1. The frequency response of the DNVMs in a wide range of vibration amplitude has been calculated numerically and plotted in Figs. 10 to 12.

Figure 10: Frequency response of DNVMs of groups G1, G2, and G3

Figure 11: Frequency response of DNVMs of groups G4 and G5

Figure 12: Frequency response of DNVMs of groups G6 and G7

Figure 13: Dispersion curves along the high-symmetry lines of the first Brillouin zone: (a)

Figure 14: Frequency response for some DNVMs found numerically (solid lines) and analytically within the cubic approximation (dashed lines)
The frequencies of DNVMs in the small amplitude limit have been derived analytically, see Eq. (14) through Eq. (20). DNVMs are classified into seven groups according to their frequency in the small-amplitude limit. DNVMs belonging to one group deform interatomic bonds of different lengths equally in the harmonic approximation, see Table 2, but when anharmonicity comes into play, the potential energies stored by bonds of different lengths become different for DNVMs of the same group, see Table 3. Very important for testing and fitting the interatomic potentials is that different DNVMs test different types of bonds, as other types of bonds are not deformed or weakly deformed during the oscillation, see Tables 2 and 3. Several examples of analytical analysis of DNVMs are presented in Section 6. The frequency response of DNVMs obtained in the framework of the cubic approximation agrees well with the numerical results, see Fig. 14.
Let us describe the advantages and disadvantages of using DNVMs for testing and training interatomic potentials. The advantages are as follows:
1. Small-amplitude DNVMs are the phonon modes. The high symmetry of DNVMs ensures that they do not interact with other phonon modes even at high vibration amplitudes so that the accuracy of the interatomic potentials can be assessed taking into account the effect of anharmonicity.
2. DNVMs, as natural vibrational modes of the lattice, are recommended for testing and training interatomic potentials, as opposed to the use of random atomic configurations. Some of the random configurations may have a small probability of being realized, and therefore their contribution should be considered with a small weight, which is difficult to set because these probabilities are hard to estimate.
3. DNVMs have a small translational cell, and their first-principles analysis using periodic boundary conditions is a routine task.
The disadvantages of DNVMs in testing and training of potentials include the following:
1. DNVMs have a short wavelength and they do not test the potentials with respect to the long waves. To overcome this problem, homogeneous deformation of the crystal can be considered in addition to DNVMs.
2. DNVMs do not provide information on crystal lattice defects. The defect configurations should be added to the training data set based on DNVMs.
The results obtained are important because they can be used to test the existing interatomic potentials and to develop new potentials for bcc crystals. The frequency response of the DNVMs calculated by first-principles modeling provides a rigorous test of the interatomic potentials. The DNVMs studied are the natural nonlinear vibrational modes of the bcc lattice and therefore any reliable interatomic potential must reproduce the frequency response of the DNVMs. The frequency response of the DNVMs can also be used to train the machine learning interatomic potentials. In the forthcoming work, DNVMs of fcc and hcp lattices will be studied, as there are many metals with these lattices.
Acknowledgement: Computational resources were provided by the Interdepartmental Supercomputer Center of the Russian Academy of Sciences.
Funding Statement: Igor V. Kosarev and Sergey V. Dmitriev acknowledge the support of the RSF Grant No. 24-11-00139 (analytics, numerical results, manuscript writing). Daxing Xiong acknowledges the support of the NNSF Grant No. 12275116, the NSF Grant No. 2021J02051, and the startup fund Grant No. MJY21035. For Aleksey A. Kudreyko, this work was supported by the Bashkir State Medical University Strategic Academic Leadership Program (PRIORITY-2030) (analytics).
Author Contributions: The authors contributed to the study as follows: conceptualization: Sergey V. Dmitriev; search for DNVMs: Denis S. Ryabov; simulations: Igor V. Kosarev; analysis and interpretation of results: Daxing Xiong, Sergey V. Dmitriev, Igor V. Kosarev, Aleksey A. Kudreyko; draft manuscript preparation: Sergey V. Dmitriev, Daxing Xiong. All authors reviewed the results and approved the final version of the manuscript.
Availability of Data and Materials: Data available on request from the authors.
Ethics Approval: Not applicable.
Conflicts of Interest: The authors declare no conflicts of interest to report regarding the present study.
Auxiliary Equations: The Hamiltonian Eq. (6) is the function of the following vectors connecting the atom
The six vectors connecting the particle
The twelve vectors connecting the particle
The twenty four vectors connecting the particle
Linearized equations of motion can be derived from Eq. (7) assuming that
The linear equations of motion are
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