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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Failure-informed adaptive sampling for PINNs
PINN 故障知情 自适应 采样
2023/5/8
Physics-informed neural networks (PINNs) have emerged as an effective technique for solving PDEs in a wide range of domains. Recent research has demonstrated, however, that the performance of PINNs ca...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep adaptive sampling for numerical PDEs
数值 偏微分方程 深度 自适应采样
2023/5/15
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first re...