January 01, 2023 article Open access PHYSICS-INFORMED POINTNET: ON HOW MANY IRREGULAR GEOMETRIES CAN IT SOLVE AN INVERSE PROBLEM SIMULTANEOUSLY? APPLICATION TO LINEAR ELASTICITY Journal of Machine Learning for Modeling and Computing DOI: 10.1615/jmachlearnmodelcomput.2023050011 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 18 References 2 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 A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method 2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 216 citations Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 31 citations 2 results