Papers matching “physics-informed machine learning” 52
Not finding it? Sign in to also search OpenAlex live.
-
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods2023 Light Science & Applications article Materials Science Metamaterials and Metasurfaces Applications Open access cited by 1 patent
Wenye Ji, Jin Chang, He‐Xiu Xu, J. R. Gao, Simon Gröblacher, Hendrik Paul Urbach, +1 more
270citations -
Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access
Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam
0citations -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access
Medad Chiedozie C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
0citations -
Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach2025 Advanced Modeling and Simulation in Engineering Sciences article Engineering Tribology and Lubrication Engineering Open access
Faras Brumand‐Poor, Freddy Kokou Azanledji, Nils Plückhahn, Florian Barlog, Lukas Boden, Katharina Schmitz
7citations -
PMIpred: a physics-informed web server for quantitative protein–membrane interaction prediction2024 Bioinformatics article 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
41citations -
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 -
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs2022 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent
Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein
60citations -
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries2021 Journal of Power Sources article Engineering Advanced Battery Technologies Research cited by 6 patents
Weihan Li, Jiawei Zhang, Florian Ringbeck, Dominik Jöst, Lei Zhang, Zhongbao Wei, +1 more
149citations