activity
20172023
most citedGPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

463 citations · 555 across the 10 of their papers we have counts for

collaborators

10 papers

physics.comp-ph2023★ 63 cited

Accurate prediction of heat conductivity of water by a neuroevolution potential

Ke Xu, Yongchao Hao, Ting Liang +4

We propose an approach that can accurately predict the heat conductivity of liquid water. On the one hand, we develop an accurate machine-learned potential based on the neuroevolut…

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…

physics.comp-ph2022★ 22 cited

Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential

Penghua Ying, Ting Liang, Ke Xu +6

Phosphorus has diverse chemical bonds and even in its two-dimensional form there are three stable allotropes: black phosphorene (Black-P), blue phosphorene (Blue-P), and violet pho…

physics.comp-ph2022

Abnormally High Thermal Conductivity in Fivefold Twinned Diamond Nanowires

Ting Liang, Ke Xu, Meng Han +5

Fivefold twins (5FTs), discovered nearly 200 years ago, are a common multiply twinned structure that usually dramatically deteriorate the thermal transport properties of nanomateri…

cond-mat.mtrl-sci2021

Mechanical Ductile Detwinning in CH3NH3PbI3 Perovskite

Li Yang, Jinjie Liu, Yanwen Lin +4

Twin boundaries (TBs) were identified to show conflicting positive/negative effects on the physical properties of CH3NH3PbI3 perovskite, but their roles on the mechanical propertie…

cond-mat.mtrl-sci2021★ 1 cited

Strengthening and Weakening by Dislocations in Monolayer MoS2

Li Yang, Jinjie Liu, Yanwen Lin +4

Dislocations govern the properties of any crystals. Yet, how dislocation of pentagonheptagon (5|7) in grain boundaries (GBs) affects the mechanical properties of two-dimensional Mo…

physics.comp-ph2020★ 1 cited

Tensile properties of structural I clathrate hydrates:Role of guest-host hydrogen bonding ability

Yue Xin, Qiao Shi, Ke Xu +2

Clathrate hydrates (CHs) are one of the most promising molecular structures in applications of gas capture and storage, and gas separations. Fundamental knowledge of mechanical cha…

cond-mat.mtrl-sci2020

Mechanical Metastructures of Triple Periodic Carbon Clathrates

Jinghui Zhu, Ke Xu, Zhisen Zhang +1

Clathrates are lightweight, cage-like, fully-sp3 three dimensional (3D) structures that are experimentally-available for several host elements of the IV group. However, carbon clat…

cond-mat.mtrl-sci2020★ 2 cited

Oxygen Functionalization-induced Crossover in the Tensile Properties of thinnest 2D Ti2C MXene

Hongzhi Yu, Ke Xu, Zhisen Zhang +2

Transition metal carbides/nitrides (MXenes) are a newly developing class of two-dimensional (2D) materials with technically robust properties that can be finely tuned by planar sur…

cond-mat.mtrl-sci2017★ 3 cited

Atomically sharp 1D SbSeI, SbSI and SbSBr with high stability and novel properties for microelectronic, optoelectronic, and thermoelectric applications

Bo Peng, Ke Xu, Hao Zhang +7

In scaling of transistor dimensions with low source-to-drain currents, 1D semiconductors with certain electronic properties are highly desired. We discover three new 1D materials,…