August 24, 2018 article Open access DGM: A deep learning algorithm for solving partial differential equations Journal of Computational Physics DOI: 10.1016/j.jcp.2018.08.029 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 9 stored of 2,276 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 Non-asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks 2026 SEMA SIMAI Springer series conference-paper Physics and Astronomy Model Reduction and Neural Networks 2 citations Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs 2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks 10 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 Residual multi-fidelity neural network computing 2025 BIT Numerical Mathematics article Physics and Astronomy Model Reduction and Neural Networks Open access 11 citations A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations 2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 27 citations Deep NURBS—admissible physics-informed neural networks 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Digital twins for electro-physical, chemical, and photonic processes 2023 CIRP Annals article Engineering Digital Transformation in Industry Open access 45 citations Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs 2022 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent 60 citations Accurately Solving Physical Systems with Graph Learning 2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access 4 citations 9 results References 0