#machine learning
Jan 2026
Hard Constraint Projection in a Physics Informed Neural Network
Physics informed machine learning provides a framework to study and simulate fluid dynamics, potentially at a fraction of the computational cost of traditional numerical methods, with the goal of improving the explainability, accuracy and robustness of purely data driven machine learning methods. In this work, we exten...
Miranda J. S. Horne, P. Jimack, A. Khan et al.
· arXiv.org · 3 citations