A unified scalable framework for causal sweeping strategies for
Physics-Informed Neural Networks (PINNs) and their temporal decompositionsJournal of Computational Physics (JCP), 2023 |
Learning Physical Models that Can Respect Conservation LawsInternational Conference on Machine Learning (ICML), 2023 |
Failure-informed adaptive sampling for PINNs, Part II: combining with
re-sampling and subset simulationCommunication on Applied Mathematics and Computation (CAMC), 2023 |
Failure-informed adaptive sampling for PINNsSIAM Journal on Scientific Computing (SISC), 2022 |