Papers matching “physics-informed modeling” 22
Not finding it? Sign in to also search OpenAlex live.
-
Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
2citations -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 RWTH Publications (RWTH Aachen) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
216citations -
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations -
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
PMIpred: A physics-informed web server for quantitative Protein-Membrane Interaction prediction2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Niek van Hilten, Nino Verwei, Jeroen Methorst, Carsten Nase, Andrius Bernatavicius, Herre Jelger Risselada
4citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow2citations
-
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access
Antonio Liguori, Matías Quintana, Chun Fu, Clayton Carl Miller, Jérôme Frisch, Christoph van Treeck
0citations -
Bridging the Gap: Integrating Neural Networks and Process-Based Models for Leaf Trait Prediction2025 SSRN Electronic Journal preprint Environmental Science Remote Sensing in Agriculture Open access
Peng Sun, Peter M. van Bodegom, Joris Timmermans, Shuwen Liu, Jing Qin Wu, Marco D. Visser
0citations
22 results