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Journal Articles

Thermodynamic properties of aluminum nanoparticles using gaussian approximation potentials

Open Access
Amit Kumar, Balasaheb J. Nagare, Raman Sharma
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 194301 (2025)
https://doi.org/10.1063/5.0262323
Published: May 2025
View articletitled, Thermodynamic properties of aluminum nanoparticles using gaussian approximation potentials
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Journal Articles

The effect of composition on helium bubble nucleation in complex concentrated alloys

Editor’s PickOpen Access
M. J. McCarthy, K. M. Karl, M. A. Cusentino
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 175108 (2025)
https://doi.org/10.1063/5.0255636
Published: May 2025
View articletitled, The effect of composition on helium bubble nucleation in complex concentrated alloys
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Journal Articles

Electronic structure of solids and their plastic properties

Open Access
L. Kozak
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 155102 (2025)
https://doi.org/10.1063/5.0244517
Published: April 2025
View articletitled, Electronic structure of solids and their plastic properties
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Journal Articles

Molecular dynamics simulation of Al (001) surface magnetron sputtering of WS2 thin films

Open Access
Sixian Wang, Sisi Liu, Shanghao Duan
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 095303 (2025)
https://doi.org/10.1063/5.0251174
Published: March 2025
View articletitled, Molecular dynamics simulation of Al (001) surface magnetron sputtering of WS2 thin films
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Journal Articles

Lattice dynamics modeling of thermal transport in solids using machine-learned atomic cluster expansion potentials: A tutorial

Open Access
Liben Guo, Yuanbin Liu, Lei Yang, Bingyang Cao
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 081101 (2025)
https://doi.org/10.1063/5.0251119
Published: February 2025
View articletitled, Lattice dynamics modeling of thermal transport in solids using machine-learned atomic cluster expansion potentials: A tutorial
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Journal Articles

Role of lattice distortion on spallation of CoCrCuFeNi high-entropy alloy

Editor’s PickOpen Access
Jingzhong Fang, Run Li, Songlin Yao, Jun Chen, Kun Wang
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 245901 (2024)
https://doi.org/10.1063/5.0241905
Published: December 2024
View articletitled, Role of lattice distortion on spallation of CoCrCuFeNi high-entropy alloy
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Journal Articles

Mechanical properties of hcp Fe at high pressures and temperatures from large-scale molecular dynamics simulations

Open Access
Orlando R. Deluigi, Eduardo M. Bringa
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 195901 (2024)
https://doi.org/10.1063/5.0238266
Published: November 2024
View articletitled, Mechanical properties of hcp Fe at high pressures and temperatures from large-scale molecular dynamics simulations
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Journal Articles

Surface properties of anode materials as an indicator of dendrite growth

Open Access
Timur Guskov, Arslan Mazitov, Ivan Kruglov
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 175303 (2024)
https://doi.org/10.1063/5.0216220
Published: November 2024
View articletitled, Surface properties of anode materials as an indicator of dendrite growth
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Journal Articles

Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu–W system

Editor’s PickOpen Access
Jiahao Pan, Huiqun Cheng, Gaosheng Yan, Lei Zhang, Wenshan Yu, Shengping Shen
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 155108 (2024)
https://doi.org/10.1063/5.0231779
Published: October 2024
View articletitled, Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu–W system
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Journal Articles

Tuning lattice thermal conductivity in NbMoTaW refractory high-entropy alloys: Insights from molecular dynamics using machine learning potential

Open Access
Jian Zhang, Haochun Zhang, Jie Xiong, Shuai Chen, Gang Zhang
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 155106 (2024)
https://doi.org/10.1063/5.0223074
Published: October 2024
View articletitled, Tuning lattice thermal conductivity in NbMoTaW refractory high-entropy alloys: Insights from molecular dynamics using machine learning potential
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Journal Articles

A machine-learning interatomic potential to study dry/wet oxidation process of silicon

Open Access
Huyang Li, Yuhang Jing, Zhongli Liu, Lingzhi Cong, Junqing Zhao, Yi Sun, Weiqi Li, Jihong Yan, Jianqun Yang, Xingji Li
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 095302 (2024)
https://doi.org/10.1063/5.0219764
Published: September 2024
View articletitled, A machine-learning interatomic potential to study dry/wet oxidation process of silicon
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Journal Articles

Strength of 2D glasses explored by machine-learning force fields

Open Access
Pengjie Shi, Zhiping Xu
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 064304 (2024)
https://doi.org/10.1063/5.0215663
Published: August 2024
View articletitled, Strength of 2D glasses explored by machine-learning force fields
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Journal Articles

A moment tensor potential for lattice thermal conductivity calculations of α and β phases of Ga2O3

Open Access
Nikita Rybin, Alexander Shapeev
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 205108 (2024)
https://doi.org/10.1063/5.0206215
Published: May 2024
View articletitled, A moment tensor potential for lattice thermal conductivity calculations of α and β phases of Ga2O3
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Journal Articles

First-principles-based machine learning interatomic potential for molecular dynamics simulations of 2D lateral MoS2/WS2 heterostructures

Open Access
Xiangjun Liu, Baolong Wang, Kun Jia, Quanjie Wang, Di Wang, Yucheng Xiong
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 205107 (2024)
https://doi.org/10.1063/5.0201527
Published: May 2024
View articletitled, First-principles-based machine learning interatomic potential for molecular dynamics simulations of 2D lateral MoS2/WS2 heterostructures
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Journal Articles

In-plane thermal conductivity of hexagonal boron nitride from 2D to 3D

Open Access
Jialin Tang, Jiongzhi Zheng, Xiaohan Song, Lin Cheng, Ruiqiang Guo
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 205105 (2024)
https://doi.org/10.1063/5.0206028
Published: May 2024
View articletitled, In-plane thermal conductivity of hexagonal boron nitride from 2D to 3D
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Journal Articles

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

Open Access
Haikuan Dong, Yongbo Shi, Penghua Ying, Ke Xu, Ting Liang, Yanzhou Wang, Zezhu Zeng, Xin Wu, Wenjiang Zhou, Shiyun Xiong, Shunda Chen, Zheyong Fan
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 161101 (2024)
https://doi.org/10.1063/5.0200833
Published: April 2024
View articletitled, Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
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Journal Articles

Predicted thermophysical properties of UN, PuN, and (U,Pu)N

Open Access
C. O. T. Galvin, N. Kuganathan, N. J. Barron, R. W. Grimes
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 165101 (2024)
https://doi.org/10.1063/5.0177315
Published: April 2024
View articletitled, Predicted thermophysical properties of UN, PuN, and (U,Pu)N
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Journal Articles

Effects of terraces and steps on the 4H-SiC BPD-TED conversion rate: A reaction pathway analysis

Open Access
Atsuo Hirano, Hiroki Sakakima, Asuka Hatano, Satoshi Izumi
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 095701 (2024)
https://doi.org/10.1063/5.0185938
Published: March 2024
View articletitled, Effects of terraces and steps on the 4H-SiC BPD-TED conversion rate: A reaction pathway analysis
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Journal Articles

Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potential

Open Access
Hiroki Sakakima, Keigo Ogawa, Sakurako Miyazaki, Satoshi Izumi
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 085104 (2024)
https://doi.org/10.1063/5.0188192
Published: February 2024
View articletitled, Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potential
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Journal Articles

Thermoelastic modeling of cubic lattices from granular materials to atomic crystals

FeaturedOpen Access
Byung-Wook Kim, Chao Liu, Huiming Yin
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 075105 (2024)
https://doi.org/10.1063/5.0184120
Published: February 2024
View articletitled, Thermoelastic modeling of cubic lattices from granular materials to atomic crystals
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