most citedRobust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2026

Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

Tatthapong Srikitrungruang, Jaesung Lee

Estimating spatially heterogeneous elastic properties from low-resolution displacement measurements is a severely ill-posed inverse elasticity problem because low resolution obscur…

cs.LG2025★ 1 cited

Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data

Tatthapong Srikitrungruang, Matthew Lemon, Sina Aghaee Dabaghan Fard +2

Accurately estimating spatially heterogeneous elasticity parameters, particularly Young's modulus and Poisson's ratio, from noisy displacement measurements remains significantly ch…