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PINNProv: Provenance for Physics-Informed Neural Networks

2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), 2023
Lyncoln S. de Oliveira   +4 more
openaire   +2 more sources

Bayesian Physics Informed Neural Networks for Real-World Nonlinear Dynamical Systems

Computer Methods in Applied Mechanics and Engineering, 2022
Kevin Linka   +2 more
exaly  

Iterative Tensorization of Physics-Informed Neural Networks

2025 International Conference on Machine Learning and Applications (ICMLA)
Carter Capetz   +2 more
openaire   +1 more source

Combined Analysis of Thermofluids and Electromagnetism Using Physics-Informed Neural Networks

Engineering Applications of Artificial Intelligence
Jihyung Yoo, Tonghun Lee, Junhyoung Jo
exaly  

Physics-informed Neural Network

Snehashish Chakraverty   +2 more
openaire   +1 more source

Physics-Informed Neural Networks to Model and Control Robots: A Theoretical and Experimental Investigation

Advanced Intelligent Systems
Luis Pablo Borja Rosales   +2 more
exaly  

Physics-Informed Neural Networks for the Harmonic Oscillator

Proceedings of the 2025 17th International Conference on Computer Modeling and Simulation
David Muñoz-Hernández   +3 more
openaire   +2 more sources

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