Does the embedded atom model have predictive power?
D.K. Belashchenko† National University of Science and Technology "MISIS", Leninskii prosp. 4, Moscow, 119049, Russian Federation
Potassium, rubidium, aluminum, iron, nickel, and tin embedded atom models (EAMs) have been used as examples to ascertain how well the properties of a metal are described by EAM potentials calculated from the shape of shock adiabats and/or static compression data (from a function of cold pressure). Verification of the EAM potential implies an evaluation of its predictive power and an analysis of the agreement with experiment both at 0 or 298 K and under shock compression. To obtain consistent results, all contributions of collectivized electrons to energy and pressure need to be taken into consideration, especially in transition metals. Taking account of or ignoring electronic contributions has little effect on the calculated melting lines of the models, self-diffusion coefficients, and viscosity. The shape of the melting line is sensitive to the behavior of the repulsive branch of the pair contribution to the EAM potential at small distances.
Keywords: embedded atom model (EAM), molecular dynamics method, embedding potential, electronic contributions, predictive power, tandem, static compression, shock compression PACS:02.70.−c, 64.30.−t, 64.70.D− (all) DOI:10.3367/UFNe.2020.01.038761 URL: https://ufn.ru/en/articles/2020/12/a/ Citation: Belashchenko D K "Does the embedded atom model have predictive power?" Phys. Usp.63 1161–1187 (2020)
PT Journal Article
TI Does the embedded atom model have predictive power?
AU Belashchenko D K
FAU Belashchenko DK
DP 10 Dec, 2020
TA Phys. Usp.
SO Phys. Usp. 2020 Dec 10;63(12):1161-1187
Received: 1st, November 2019, revised: 19th, January 2020, accepted: 23rd, January 2020