Towards enforcing hard physics constraints in operator learning frameworks
Enforcing physics constraints in surrogate models for PDE evolution operators can improve
the physics plausibility of their predictions and their convergence and generalization …
the physics plausibility of their predictions and their convergence and generalization …
Fast multi-fidelity Gaussian processes with derivatives for complex system modeling
JX Jia, F Lian, WH Feng, X Liu… - … Science and Technology, 2024 - iopscience.iop.org
Accurately obtaining physics model information is essential for comprehending the
mechanisms of physical dynamics. However, the inherent complexity of these models …
mechanisms of physical dynamics. However, the inherent complexity of these models …