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Physics-informed neural network for hydrodynamic lubrication with film thickness discontinuity

Bochao Guan Qiang He Yang Hu Zhiyuan Zheng Weifeng Huang

摩擦（英文）2025，Vol.13Issue(9)：105-120,16.

摩擦（英文）2025，Vol.13Issue(9)：105-120,16.DOI:10.26599/FRICT.2025.9441035

Physics-informed neural network for hydrodynamic lubrication with film thickness discontinuity

Bochao Guan ¹Qiang He ²Yang Hu ³Zhiyuan Zheng ⁴Weifeng Huang²

作者信息

1. State Key Laboratory of Tribology in Advanced Equipment,Tsinghua University,Beijing 100084,China||School of Science,China University of Geosciences(Beijing),Beijing 100083,China
2. State Key Laboratory of Tribology in Advanced Equipment,Tsinghua University,Beijing 100084,China
3. School of Mechanical,Electronic,and Control Engineering,Beijing Jiaotong University,Beijing 100044,China
4. School of Science,China University of Geosciences(Beijing),Beijing 100083,China
折叠

摘要

关键词

physics-informed neural networks(PINNs)/Reynolds equation/film thickness discontinuities/hydrodynamic lubrication

Key words

physics-informed neural networks(PINNs)/Reynolds equation/film thickness discontinuities/hydrodynamic lubrication

引用本文复制引用

Bochao Guan,Qiang He,Yang Hu,Zhiyuan Zheng,Weifeng Huang..Physics-informed neural network for hydrodynamic lubrication with film thickness discontinuity[J].摩擦（英文）,2025,13(9):105-120,16.

基金项目

This work was supported by the National Natural Science Foundation of China(Nos.12102228,52275201,and 12172039)and the Beijing Outstanding Young Scientist Program(JWZQ20240102006). （Nos.12102228,52275201,and 12172039）

摩擦（英文）

ISSN：2223-7690

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