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 Thermodynamics-consistent graph neural networks 2024 Chemical Science article Engineering Phase Equilibria and Thermodynamics Open access 38 citations FAST COMPUTATION OF LUBRICATED CONTACTS: A PHYSICS- INFORMED DEEP LEARNING APPROACH 2024 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Development of a decision support system for profile extrusion 2024 AIP conference proceedings conference-paper Engineering Digital Transformation in Industry 1 citations Physics-Informed Autoencoders with Intrinsic Differential Equations for Anomaly Detection in Industrial Processes 2024 Lecture notes in networks and systems conference-paper Engineering Fault Detection and Control Systems 0 citations Materials Within a Digitalized Production Environment 2023 Interdisciplinary excellence accelerator series book-chapter Materials Science Machine Learning in Materials Science Open access 1 citations Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations 2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access 0 citations Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 7 citations Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains 2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 98 citations Theory and implementation of inelastic Constitutive Artificial Neural Networks 2023 RWTH Publications (RWTH Aachen) preprint Engineering Elasticity and Material Modeling Open access 9 citations A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks 2023 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 7 citations Effects of variational formulations on physics‐informed neural network performance in solid mechanics 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 8 citations Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) conference-paper Physics and Astronomy Model Reduction and Neural Networks 0 citations Reply on RC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations On the order of derivation in the training of physics-informed neural networks: case studies for non-uniform beam structures 2023 Acta Mechanica article Physics and Astronomy Model Reduction and Neural Networks 25 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods 2023 Light Science & Applications article Materials Science Metamaterials and Metasurfaces Applications Open access cited by 1 patent 270 citations Lifelike Transformative Materials for Biohybrid Implants: Inspired by Nature, Driven by Technology 2023 Advanced Healthcare Materials article Medicine Tissue Engineering and Regenerative Medicine Open access 11 citations Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction 2023 arXiv (Cornell University) preprint Engineering Phase Equilibria and Thermodynamics Open access 1 citations Physics-informed neural networks applied to catastrophic creeping landslides 2023 Landslides article Environmental Science Landslides and related hazards Open access 42 citations 81–100 of 143 ← Previous Page 5 / 8 Next → References 0