Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks

arXiv:2608.24970 · cs.LG · Submitted 2026-08-25 · Read on arXiv

cs.LG

Submitted: 2026-08-25

Updated: 2026-08-25

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 31× in this paper · explained in 1 episode
• Physics-Informed Error Field Learning — 23× in this paper
• Physical Constraints — 9× in this paper · explained in 7 episodes
• Adaptive Sampling — 5× in this paper · explained in 1 episode
• Loss Function — 5× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Physics-Informed Neural Networks (PINNs) — 4× in this paper · explained in 6 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Conservation Laws — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• PDE residual — 1× in this paper · explained in 2 episodes

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