Preprint
Aug 2026
Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks
A Physics-Informed Error Field Learning (PIEFL) framework for PINNs is proposed, which avoids continuous optimization of the entire solution space and focuses computational resources on correcting existing prediction errors.
Jiuyun Sun, Yong Zhang
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