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 Machine learning tools in production engineering 2022 The International Journal of Advanced Manufacturing Technology article Computer Science Neural Networks and Applications Open access 9 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 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 Explainable machine learning for precise fatigue crack tip detection 2022 Scientific Reports article Engineering Fatigue and fracture mechanics Open access cited by 3 patents 44 citations 3D Multi-Physics Uncertainty Quantification using Physics-Based Machine Learning 2022 Research Square preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C 2022 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies Open access 8 citations HybridML: Open source platform for hybrid modeling 2022 Computers & Chemical Engineering article Computer Science Modeling and Simulation Systems Open access 30 citations Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models 2022 Frontiers in Materials article Physics and Astronomy Model Reduction and Neural Networks Open access 41 citations A Data-Driven Reduced Order Modeling Approach Applied in Context of Numerical Analysis and Optimization of Plastic Profile Extrusion 2022 European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access 4 citations Continuous limits of residual neural networks in case of large input data 2022 Communications in Applied and Industrial Mathematics article Computer Science Neural Networks and Applications Open access 2 citations TN, ROM, ML, PINNs – Four approaches for real-time temperature estimation in electric motors in comparison 2022 European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) conference-paper Engineering Electric Motor Design and Analysis Open access 0 citations Workflow concepts to model nonlinear mechanics with computational intelligence 2021 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Estimating divergence‐free flows via neural networks 2021 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem 2021 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access 1 citations Machine Learning in Chemical Engineering: A Perspective 2021 Chemie Ingenieur Technik article Materials Science Machine Learning in Materials Science Open access 290 citations Why can we detect lianas from space? 2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Environmental Science Remote Sensing in Agriculture Open access 6 citations Prediction of Particle Properties in Plasma Spraying Based on Machine Learning 2021 Journal of Thermal Spray Technology article Engineering High-Temperature Coating Behaviors Open access 37 citations Performance Comparison for Scientific Computations on the Edge via Relative Performance 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) conference-paper Computer Science IoT and Edge/Fog Computing Open access 5 citations Accurately Solving Rod Dynamics with Graph Learning 2021 King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) conference-paper Computer Science Computer Graphics and Visualization Techniques 6 citations Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows 2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access 150 citations 121–140 of 143 ← Previous Page 7 / 8 Next → References 0