3 citations · 3 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2023
Exploring Model Complexity in Machine Learned Potentials for Simulated Properties
Andrew Rohskopf, James Goff, Dionysios Sema +5
Machine learning (ML) enables the development of interatomic potentials that promise the accuracy of first principles methods while retaining the low cost and parallel efficiency o…
cond-mat.mtrl-sci2016
Phonon Optimized Potentials
Andrew Rohskopf, Hamid R. Seyf, Kiarash Gordiz +1
Molecular dynamics (MD) simulations have been extensively used to study phonons and gain insight, but direct comparisons to experimental data are often difficult, due to a lack of…
cond-mat.mtrl-sci2014★ 3 cited
A New Formalism for Calculating Modal Contributions to Thermal Interface Conductance from Molecular Dynamics Simulations
Kiarash Gordiz, Asegun Henry
A new formalism for extracting the modal contributions to thermal interface conductance with full inclusion of anharmonicity is presented. The results indicate that when two materi…