December 14, 2017 article Open access Hidden physics models: Machine learning of nonlinear partial differential equations Journal of Computational Physics DOI: 10.1016/j.jcp.2017.11.039 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 16 stored of 1,396 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Accelerating Computation of Sealing Deformation—A Physics-Informed Neural Network Framework for Hyperelastic Deformation 2026 Lecture notes in computational science and engineering conference-paper Physics and Astronomy Model Reduction and Neural Networks 0 citations Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials 2025 Advanced Modeling and Simulation in Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access 3 citations Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach 2025 Advanced Modeling and Simulation in Engineering Sciences article Engineering Tribology and Lubrication Engineering Open access 8 citations Physics-Informed Neural Networks for the Reynolds Equation with Transient Cavitation Modeling 2024 Lubricants article Engineering Tribology and Lubrication Engineering Open access 16 citations Extrapolation of Hydrodynamic Pressure in Lubricated Contacts: A Novel Multi-Case Physics-Informed Neural Network Framework 2024 Lubricants article Physics and Astronomy Model Reduction and Neural Networks Open access 19 citations FAST COMPUTATION OF LUBRICATED CONTACTS: A PHYSICS- INFORMED DEEP LEARNING APPROACH 2024 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations 2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations Reply on RC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on CEC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on AC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on RC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations 2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Accurately Solving Physical Systems with Graph Learning 2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access 4 citations Theory-training deep neural networks for an alloy solidification benchmark problem 2020 Computational Materials Science article Physics and Astronomy Model Reduction and Neural Networks 39 citations 16 results References 0