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

Abstract Accurately estimating spatially heterogeneous elasticity parameters, particularly Young's modulus and Poisson's ratio, from noisy displacement measurements remains a significant challenge in inverse elasticity problems. Existing inverse estimation techniques are often limited by instability...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Tatthapong Srikitrungruang, Sina Aghaee Dabaghan Fard, Matthew Lemon, Jaesung Lee, Yuxiao Zhou
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Wiley 2025-12-01
Ráidu:	Advanced Science
Fáttát:	elastography inverse problem mechanical properties estimation noisy measurement data physic‐informed neural network
Liŋkkat:	https://doi.org/10.1002/advs.202508445
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!