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Journal Articles

Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and machine learning

Featured
Xiang-Long Peng, Bai-Xiang Xu
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 105101 (2024)
https://doi.org/10.1063/5.0223138
Published: September 2024
View article titled, Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and machine learning
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Journal Articles

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

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 article titled, Strength of 2D glasses explored by machine-learning force fields
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Journal Articles

Fundamentals and recent developments of free-space optical neural networks

FeaturedScilight
Alexander Montes McNeil, Yuxiao Li, Allen Zhang, Michael Moebius, Yongmin Liu
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 030701 (2024)
https://doi.org/10.1063/5.0215752
Published: July 2024
View article titled, Fundamentals and recent developments of free-space optical neural networks
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Journal Articles

Enhancing overall performance of thermophotovoltaics via deep reinforcement learning-based optimization

FeaturedScilight
Shilv Yu, Zihe Chen, Wentao Liao, Cheng Yuan, Bofeng Shang, Run Hu
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 023101 (2024)
https://doi.org/10.1063/5.0213211
Published: July 2024
View article titled, Enhancing overall performance of thermophotovoltaics via deep reinforcement learning-based optimization
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Journal Articles

BubbleID: A deep learning framework for bubble interface dynamics analysis

C. Dunlap, C. Li, H. Pandey, N. Le, H. Hu
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 014902 (2024)
https://doi.org/10.1063/5.0207546
Published: July 2024
View article titled, BubbleID: A deep learning framework for bubble interface dynamics analysis
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Journal Articles

Machine learning-assisted thermoelectric cooling for on-demand multi-hotspot thermal management

Jiajian Luo, Jaeho Lee
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 244503 (2024)
https://doi.org/10.1063/5.0206287
Published: June 2024
View article titled, Machine learning-assisted thermoelectric cooling for on-demand multi-hotspot thermal management
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Journal Articles

Deep learning for Dirac dispersion engineering in sonic crystals

Editor’s Pick
Xiao-Huan Wan, Jin Zhang, Yongsheng Huang, Li-Yang Zheng
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 244303 (2024)
https://doi.org/10.1063/5.0206258
Published: June 2024
View article titled, Deep learning for Dirac dispersion engineering in sonic crystals
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Journal Articles

TeMPO: Efficient time-multiplexed dynamic photonic tensor core for edge AI with compact slow-light electro-optic modulator

Meng Zhang, Dennis Yin, Nicholas Gangi, Amir Begović, Alexander Chen, Zhaoran Rena Huang, Jiaqi Gu
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 223105 (2024)
https://doi.org/10.1063/5.0203036
Published: June 2024
View article titled, TeMPO: Efficient time-multiplexed dynamic photonic tensor core for edge AI with compact slow-light electro-optic modulator
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Journal Articles

Robust inverse parameter fitting of thermal properties from the laser-based Ångstrom method in the presence of measurement noise using physics-informed neural networks (PINNs)

Shanmukhi Sripada, Aalok U. Gaitonde, Justin A. Weibel, Amy M. Marconnet
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 225106 (2024)
https://doi.org/10.1063/5.0206247
Published: June 2024
View article titled, Robust inverse parameter fitting of thermal properties from the laser-based Ångstrom method in the presence of measurement noise using physics-informed neural networks (PINNs)
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Journal Articles

Complex profile metrology via physical symmetry enhanced small angle x-ray scattering

Dawei Wang (王大卫), Hongtao Liang (梁洪涛), Hairui Yang (杨海瑞), Hong Yu (喻虹)
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 223103 (2024)
https://doi.org/10.1063/5.0206291
Published: June 2024
View article titled, Complex profile metrology via physical symmetry enhanced small angle x-ray scattering
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Journal Articles

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

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 article titled, First-principles-based machine learning interatomic potential for molecular dynamics simulations of 2D lateral MoS<sub>2</sub>/WS<sub>2</sub> heterostructures
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Journal Articles

High throughput substrate screening for interfacial thermal management of β-Ga2O3 by deep convolutional neural network

Editor’s Pick
Mohammed Al-Fahdi, Ming Hu
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 205101 (2024)
https://doi.org/10.1063/5.0201699
Published: May 2024
View article titled, High throughput substrate screening for interfacial thermal management of β-Ga<sub>2</sub>O<sub>3</sub> by deep convolutional neural network
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Journal Articles

Liquid droplet entrainment in an annular flow boiling regime—A Bayesian regularization algorithm based study

Jayesh Vyas, Rishika Kohli, Shaifu Gupta, Harish Pothukuchi
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 165001 (2024)
https://doi.org/10.1063/5.0203144
Published: April 2024
View article titled, Liquid droplet entrainment in an annular flow boiling regime—A Bayesian regularization algorithm based study
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Journal Articles

Multimodal learning of heat capacity based on transformers and crystallography pretraining

Hongshuo Huang, Amir Barati Farimani
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 165104 (2024)
https://doi.org/10.1063/5.0201755
Published: April 2024
View article titled, Multimodal learning of heat capacity based on transformers and crystallography pretraining
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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

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 article titled, 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

Extracting fundamental parameters of 2D natural thermal convection using convolutional neural networks

Mohammad Ali Boroumand, Gabriele Morra, Peter Mora
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 144702 (2024)
https://doi.org/10.1063/5.0198004
Published: April 2024
View article titled, Extracting fundamental parameters of 2D natural thermal convection using convolutional neural networks
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Journal Articles

The optimization of evaporation rate in graphene-water system by machine learning algorithm

Degao Qiao, Ming Yang, Yin Gao, Jue Hou, Xingli Zhang, Hang Zhang
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 135302 (2024)
https://doi.org/10.1063/5.0187236
Published: April 2024
View article titled, The optimization of evaporation rate in graphene-water system by machine learning algorithm
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Journal Articles

Diffusion model-based inverse design for thermal transparency

Bin Liu, Liujun Xu, Yixi Wang, Jiping Huang
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 125101 (2024)
https://doi.org/10.1063/5.0197999
Published: March 2024
View article titled, Diffusion model-based inverse design for thermal transparency
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Journal Articles

Machine-learning-assisted searching for thermally conductive polymers: A mini review

Yinglong Hu, Qi Wang, Hao Ma
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 120701 (2024)
https://doi.org/10.1063/5.0201613
Published: March 2024
View article titled, Machine-learning-assisted searching for thermally conductive polymers: A mini review
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Journal Articles

Parallel guidance of wavefront shaping multi-color light focusing based on spatial and frequency domain information of speckle patterns

Yuanshen Xiao, Liang Yin, Junjie Zhou, Minglong Hu, Yingchun Ding
Journal: Journal of Applied Physics
J. Appl. Phys. 134, 233103 (2023)
https://doi.org/10.1063/5.0177854
Published: December 2023
View article titled, Parallel guidance of wavefront shaping multi-color light focusing based on spatial and frequency domain information of speckle patterns
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