March 11, 2026 article Open access Physics-informed neural networks for differential equation solutions: A comprehensive review Neurocomputing DOI: 10.1016/j.neucom.2026.133317 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 12 References 3 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 finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 39 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 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 3 results