Using the macroscopic dielectric constant at short interatomic distances is questionable. Interatomic interaction potential can be applied to understand the interactions between atoms. Elements with small molar volumes and strong interatomic forces usually have high bulk moduli. Classical interatomic potentials cannot reproduce all phenomena. The deficiencies of the interatomic potentials remain a major bottleneck in homology modeling of proteins. It corresponds to energy stored principally by changing the interatomic distances between nuclei. Current research in interatomic potentials involves using machine learning methods. Together, these potentials guarantee an interatomic distance that achieves a minimal energy state. Both of these molecules are much smaller with more normally sized interatomic distances. Parameter sets and functional forms are defined by interatomic potentials developers to be self-consistent. When temperature increases, the amplitude of atomic vibrations increase, leading to larger interatomic spacing. However at greater distances, the effects of the interatomic forces in helium are even weaker. It is a variety of interatomic potentials. The interatomic overlap matrix elements formula 35 should be rather small or neglectable. It can then be derived from the interatomic potential for crystalline materials.