Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks
This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2608.24970v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) have emerged as an important class of numerical methods for solving partial differential equations (PDEs). However, during the late-stage optimization process, further parameter updates often yield diminishing…
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- 2026-08-27 04:00 · arXiv cs.LG
Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks
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