October 12, 2021 article Open access When and why PINNs fail to train: A neural tangent kernel perspective Journal of Computational Physics DOI: 10.1016/j.jcp.2021.110768 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 15 stored of 1,448 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 Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning 2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access 7 citations Reduced-order structure-property linkages for stochastic metamaterials 2025 Physical Review Materials article Materials Science Machine Learning in Materials Science Open access 0 citations SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures 2025 Journal of the Mechanics and Physics of Solids article Physics and Astronomy Model Reduction and Neural Networks Open access 18 citations Sensitivity analysis using physics-based machine learning: an example from surrogate modelling for magnetotellurics 2025 Geophysical Journal International article Physics and Astronomy Model Reduction and Neural Networks Open access 1 citations Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks 2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks 82 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 3D multi-physics uncertainty quantification using physics-based machine learning 2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access 30 citations 3D Multi-Physics Uncertainty Quantification using Physics-Based Machine Learning 2022 Research Square preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations 15 results References 0