November 03, 2018 article Open access Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Journal of Computational Physics DOI: 10.1016/j.jcp.2018.10.045 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 143 stored of 20,028 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 Fazit und Ausblick 2021 VDI-Buch book-chapter Engineering BIM and Construction Integration 1 citations Accurately Solving Physical Systems with Graph Learning 2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access 4 citations Theory-training deep neural networks for an alloy solidification benchmark problem 2020 Computational Materials Science article Physics and Astronomy Model Reduction and Neural Networks 39 citations 141–143 of 143 ← Previous Page 8 / 8 References 0