Browsing by Subject LEARNING POTENTIAL
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
| 2022 | Deep Machine Learning Potentials for Multicomponent Metallic Melts: Development, Predictability and Compositional Transferability | Ryltsev, R. E.; Chtchelkatchev, N. M. |
| 2023 | Local structure, thermodynamics, and melting of boron phosphide at high pressures by deep learning-driven ab initio simulations | Chtchelkatchev, N. M.; Ryltsev, R. E.; Magnitskaya, M. V.; Gorbunov, S. M.; Cherednichenko, K. A.; Solozhenko, V. L.; Brazhkin, V. V. |
