A. Gabourie

activity

20172022

most citedGPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

463 citations · 896 across the 6 of their papers we have counts for

collaborators

Showing 2022Show all

2 papers · 1 filter

physics.comp-ph2022★ 463 cited

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zheyong Fan, Yanzhou Wang, Penghua Ying +17

We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…

cond-mat.mtrl-sci2022★ 1 cited

Substrate-Dependence of Monolayer MoS $_{2}$ Thermal Conductivity and Thermal Boundary Conductance

Alexander J. Gabourie, Cagil Koroglu, Eric Pop

The thermal properties of two-dimensional (2D) materials, like MoS $_{2}$ , are known to be affected by interactions with their environment, but this has primarily been studied only wi…

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Substrate-Dependence of Monolayer MoS2​ Thermal Conductivity and Thermal Boundary Conductance

Substrate-Dependence of Monolayer MoS $_{2}$ Thermal Conductivity and Thermal Boundary Conductance