most citedReliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2025★ 4 cited

Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning

Shota Deguchi, Mitsuteru Asai

Physics-informed neural networks have attracted significant attention in scientific machine learning for their capability to solve forward and inverse problems governed by partial…