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Physical Review Materials

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J. Comput. Data-Driven Mater. Eng. (1)Journal of Applied Physics (1)

Articles Citing

Machine learning-based interatomic potential development and phase transition analysis of ferroelectric hafnium dioxide

Yasantha Hetti Kankanamalage ^1,2,*, Yufeng Xi ³, Shuai Zhang ², Sobhit Singh ^1,3, and Niaz Abdolrahim ^1,2,3

¹Department of Mechanical Engineering, University of Rochester, Rochester, New York 14627, USA
²Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623, USA
³Materials Science Program, University of Rochester, Rochester, New York 14627, USA

^*Contact author: yhettika@ur.rochester.edu

Molecular dynamics simulations for Debye-temperature extraction in compressed metals

Amna Salah, Griffin Hess, and Niaz Abdolrahim

Journal of Applied Physics 140 155902 (2026)

A Framework for Validating ML Potentials against Experimental Phonon Dispersion and Elastic Constants

Sophie Laurent, Pierre Dubois, Marc Lefevre, and Claire Moreau

J. Comput. Data-Driven Mater. Eng. 5 (2026)

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