output
20032026
most citedNeuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport

526 citations

Showing 2018 · cond-mat.mtrl-sciShow all

5 papers · 2 filters

cond-mat.mtrl-sci2018★ 75 cited

Thermal Transport in MoS from Molecular Dynamics using Different Empirical Potentials

Ke Xu, Alexander J. Gabourie, Arsalan Hashemi +7

Thermal properties of molybdenum disulfide (MoS) have recently attracted attention related to fundamentals of heat propagation in strongly anisotropic materials, and in the con…

cond-mat.mtrl-sci2018★ 44 cited

Heat transport in pristine and polycrystalline single-layer hexagonal boron nitride

Haikuan Dong, Petri Hirvonen, Zheyong Fan +1

We use a phase field crystal model to generate large-scale bicrystalline and polycrystalline single-layer hexagonal boron nitride (h-BN) samples and employ molecular dynamics (MD)…

cond-mat.mtrl-sci2018★ 37 cited

Thermal transport properties of single-layer black phosphorous from extensive molecular dynamics simulations

Ke Xu, Zheyong Fan, Jicheng Zhang +2

We compute the anisotropic in-plane thermal conductivity of suspended single-layer black phosphorous (SLBP) using three molecular dynamics (MD) based methods, including the equilib…

cond-mat.mtrl-sci2018★ 273 cited

Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials

Zheyong Fan, Haikuan Dong, Ari Harju +1

The standard equilibrium Green-Kubo and nonequilibrium molecular dynamics (MD) methods for computing thermal transport coefficients in solids typically require relatively long simu…

cond-mat.mtrl-sci2018★ 54 cited

Type-I and type-II Nodal Lines Coexistence in the Antiferromagnetic monolayer CrAs

Busheng Wang, Heng Gao, Qing Lu +5

Topological nodal line semimetals, hosting one-dimensional Fermi lines with symmetry protection, has become a hot topic in topological quantum matter. Due to the breaking of time r…