January 01, 2018 article Numerical Gaussian Processes for Time-Dependent and Nonlinear Partial Differential Equations SIAM Journal on Scientific Computing DOI: 10.1137/17m1120762 OpenAlex Authors 0 Author list not loaded yet. Cited by 13 stored of 323 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 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 Exact Inference for Continuous-Time Gaussian Process Dynamics 2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access 2 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 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 13 results References 0