activity
20192022
most citedQuantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations

82 citations · 174 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2022★ 82 cited

Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations

Yanzhou Wang, Zheyong Fan, Ping Qian +2

Amorphous silicon (a-Si) is an important thermal-management material and also serves as an ideal playground for studying heat transport in strongly disordered materials. Theoretica…

cond-mat.mtrl-sci2021★ 18 cited

Heat transport across graphene/hexagonal-BN tilted grain boundaries from phase-field crystal model and molecular dynamics simulations

Haikuan Dong, Petri Hirvonen, Zheyong Fan +3

We study the interfacial thermal conductance of grain boundaries (GBs) between monolayer graphene and hexagonal boron nitride (h-BN) sheets using a combined atomistic approach. Fir…

cond-mat.mtrl-sci2021★ 3 cited

Structure and Pore Size Distribution in Nanoporous Carbon

Yanzhou Wang, Zheyong Fan, Ping Qian +2

We study the structural and mechanical properties of nanoporous (NP) carbon materials by extensive atomistic machine-learning (ML) driven molecular dynamics (MD) simulations. To th…

cond-mat.stat-mech2020★ 17 cited

Interpretation of apparent thermal conductivity in finite systems from equilibrium molecular dynamics simulations

Haikuan Dong, Shiyun Xiong, Zheyong Fan +3

We propose a way to properly interpret the apparent thermal conductivity obtained for finite systems using equilibrium molecular dynamics simulations (EMD) with fixed or open bound…

cond-mat.mtrl-sci2020★ 36 cited

Thermal conductivity reduction in carbon nanotube by fullerene encapsulation: A molecular dynamics study

Haikuan Dong, Zheyong Fan, Ping Qian +2

Single-walled carbon nanotubes (SWCNTs) in their pristine form have high thermal conductivity whose further improvement has attracted a lot of interest. Some theoretical studies ha…

cond-mat.mtrl-sci2019★ 18 cited

A minimal Tersoff potential for diamond silicon with improved descriptions of elastic and phonon transport properties

Zheyong Fan, Yanzhou Wang, Xiaokun Gu +3

Silicon is an important material and many empirical interatomic potentials have been developed for atomistic simulations of it. Among them, the Tersoff potential and its variants a…