January 01, 2024 article Open access Can physics-informed neural networks beat the finite element method? IMA Journal of Applied Mathematics DOI: 10.1093/imamat/hxae011 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 219 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 new set of test functions for variational physics-informed neural networks in solid mechanics 2026 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations A physics-informed meta-learning framework for the continuous solution of parametric PDEs on arbitrary geometries 2026 Computers & Structures article Physics and Astronomy Model Reduction and Neural Networks Open access 4 citations Comparing pretraining methods with different fidelities for a 2D cooling problem in injection molding 2025 Journal of Polymer Engineering article Physics and Astronomy Model Reduction and Neural Networks 0 citations Inverse modeling of process parameters from data to predict the cooling behavior in injection molding 2025 Journal of Manufacturing Processes article Physics and Astronomy Model Reduction and Neural Networks 8 citations 4 results References 0