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RESEARCH PAPER · International journal of mechanical system dynamics · 2021

Machine‐learning‐based interatomic potentials for advanced manufacturing

Wei Yu, Chaoyue Ji, Xuhao Wan, Zhaofu Zhang, John Robertson, Sheng Liu, Yuzheng Guo

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23 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Machine‐learning‐based interatomic potentials for advanced manufacturingOriginalLimits of Extrapolation in Smoothness-Constrained ML Potentials: Fundamental Trade-Offs from Sobolev Training0Revealing the improved stability of amorphous boron-nitride upon carbon doping21A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process8Advances in data‐assisted high‐throughput computations for material design112A Feature Fusion Method Based on DeepONet for Dynamic Equations0Automated Frequency Domain Decomposition Method Based on Convolutional Neural Network1Dynamic Characteristic Analysis of Rudder System Transmission Mechanism Considering Clearance1Internal Ballistic Optimization Design Based on Improved Particle Swarm Optimization Title0Multi-degree-of-Freedom Lumbar-Hip-Assisted Exoskeleton Design and Model-Free Impedance Control Based on Time-Delay Estimation0Self-Consistency Is Not Enough: A Framework for Error-Correcting ML Potentials with On-the-Fly Residual Learning0Methods and applications of machine learning in computational design of optoelectronic semiconductors22Machine learning optimization strategy of shaped charge liner structure based on jet penetration efficiency20Recent Advances in the Large‐Scale Production of Photo/Electrocatalysts for Energy Conversion and beyond52An investigation into uncertain mixed energy dispatching strategies for wind power incorporating improved error estimation bandwidth3Chalcogenide phase-change materials: unveiling new horizons with big data and machine learning10DFT insights into the mechanical properties of NMs9Recent Trends and Progress in Molecular Dynamics Simulations of 2D Materials for Tribological Applications: An Extensive Review29Machine Learning Approaches for Heat Treatment in Thermal Manufacturing Processes: A Review9Machine Learning Applied to High Entropy Alloys under Irradiation8Atomic-scale insights into hydrogen transport at tungsten grain boundaries with machine learning potentials0Machine-learned potentials for solvation modeling5Artificial Intelligence for Energy Optimization in Educational Buildings in Saudi Arabia: A Systematic Review of Design Variables and Decision-Support Approaches in Hot-Arid Climates1A computational framework for quantitative property mapping and structure-property analysis of metallic glasses3

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  1. Limits of Extrapolation in Smoothness-Constrained ML Potentials: Fundamental Trade-Offs from Sobolev Training

    Journal of Computational and Data-Driven Materials Engineering · 2022-01-01

    Ravi Kumar, Neha Sharma, Aniket Deshmukh, Arjun Nair, Meera Pillai

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  2. Revealing the improved stability of amorphous boron-nitride upon carbon doping

    Nanoscale Horizons · 2022-12-20

    Onurcan Kaya, Luigi Colombo, Aleandro Antidormi, Mario Lanza, Stephan Roche

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  3. A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process

    The International Journal of Advanced Manufacturing Technology · 2023-02-21

    Abd El Hedi Gabsi, Chokri Ben Aissa, Safa Mathlouthi

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  4. Advances in data‐assisted high‐throughput computations for material design

    Materials Genome Engineering Advances · 2023-09-01

    Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang

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  5. A Feature Fusion Method Based on DeepONet for Dynamic Equations

    Lecture notes in mechanical engineering · 2024-01-01

    Yin Huang, Jieyu Ding

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  6. Automated Frequency Domain Decomposition Method Based on Convolutional Neural Network

    Lecture notes in mechanical engineering · 2024-01-01

    Shuhong Zeng, Jie Kang, Jie Luo, Jiabao Sun

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  7. Dynamic Characteristic Analysis of Rudder System Transmission Mechanism Considering Clearance

    Lecture notes in mechanical engineering · 2024-01-01

    Xiaobo Ji, Xiaokai Mu, Wei Wei, Haitao Jiang, Qingchao Sun, Sun We

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  8. Internal Ballistic Optimization Design Based on Improved Particle Swarm Optimization Title

    Lecture notes in mechanical engineering · 2024-01-01

    Bowen Zhang, Guoping Wang, Xin Zhao

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  9. Multi-degree-of-Freedom Lumbar-Hip-Assisted Exoskeleton Design and Model-Free Impedance Control Based on Time-Delay Estimation

    Lecture notes in mechanical engineering · 2024-01-01

    Zhanxiang Duan, Yang Tian, Haoping Wang

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  10. Self-Consistency Is Not Enough: A Framework for Error-Correcting ML Potentials with On-the-Fly Residual Learning

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Siti Rahman, Ahmad Zaki, Nurul Huda, Amir Faisal, Lim Wei

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  11. Methods and applications of machine learning in computational design of optoelectronic semiconductors

    Science China Materials · 2024-03-19

    Xiaoyu Yang, Kun Zhou, Xin He, Lijun Zhang

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  12. Machine learning optimization strategy of shaped charge liner structure based on jet penetration efficiency

    Defence Technology · 2024-04-26

    Ziqi Zhao, Tong Li, Dong-Lin Sheng, Jian Chen, Amin Yan, Yan Chen, Haiying Wang, Xiaowei Chen, L.H. Dai

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  13. Recent Advances in the Large‐Scale Production of Photo/Electrocatalysts for Energy Conversion and beyond

    Advanced Energy Materials · 2024-09-17

    Jinhao Li, Zixian Li, Qiuhong Sun, Yujun Wang, Yang Li, Yang Li, Yung‐Kang Peng, Ye Li, Ye Li, Ce Zhang, Bin Liu, Yufei Zhao

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  14. An investigation into uncertain mixed energy dispatching strategies for wind power incorporating improved error estimation bandwidth

    International Journal of Green Energy · 2024-09-20

    Feiran Yang, Jian Yong Feng, Xu Hu

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  15. Chalcogenide phase-change materials: unveiling new horizons with big data and machine learning

    Journal of Materials Chemistry C · 2025-01-01

    Xuanguang Zhang, Kaiqi Li, Jian Xin Zhou, Zhimei Sun

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  16. DFT insights into the mechanical properties of NMs

    Results in Surfaces and Interfaces · 2025-01-01

    Mohammad Aminul Islam, Nayem Hossain, Zahid Ahsan, Masud Rana, Mustafizur Rahman, Md. Ibrahim Abdullah

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  17. Recent Trends and Progress in Molecular Dynamics Simulations of 2D Materials for Tribological Applications: An Extensive Review

    Archives of Computational Methods in Engineering · 2025-03-10

    Kamal Kumar, Jiaqin Xu, Gang Wu, Akarsh Verma, Abhishek Kumar Mishra, Lei Gao, Shigenobu Ogata

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  18. Machine Learning Approaches for Heat Treatment in Thermal Manufacturing Processes: A Review

    ASME Journal of Heat and Mass Transfer · 2025-07-31

    Adib Bazgir, Yuwen Zhang

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  19. Machine Learning Applied to High Entropy Alloys under Irradiation

    Advanced Engineering Materials · 2025-11-04

    Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko J. Alava, Antoni Wadowski, Wenyi Huo, Ł. Kurpaska, Michal Pecelerowicz, Jan S. Wróbel

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  20. Atomic-scale insights into hydrogen transport at tungsten grain boundaries with machine learning potentials

    International Journal of Hydrogen Energy · 2025-12-06

    Meiqi Wei, Guoqing Zhang, Tingting Zhou, Jipeng Zhu, Yuhan Zhou, Changan Chen, Qi Wang

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  21. Machine-learned potentials for solvation modeling

    Journal of Physics Condensed Matter · 2025-12-30

    Roopshree Banchode, Surajit Das, Shampa Raghunathan, Raghunathan Ramakrishnan

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  22. Artificial Intelligence for Energy Optimization in Educational Buildings in Saudi Arabia: A Systematic Review of Design Variables and Decision-Support Approaches in Hot-Arid Climates

    Sustainability · 2026-05-18

    Malaz Khalid Hamzah, Hatem El Shafie, Mohanned M Althobaiti

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  23. A computational framework for quantitative property mapping and structure-property analysis of metallic glasses

    Journal of Material Science and Technology · 2026-05-30

    Xuhe Gong, Hengbo Zhao, Xiao Fu, Jingchen Lian, Qifan Yang, Ran Li, Ruijuan Xiao, Tao Zhang, Hong Li

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