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20042021
most citedA physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data

124 citations · 127 across the 3 of their papers we have counts for

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cs.LG2020★ 1 cited

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks

Khemraj Shukla, Patricio Clark Di Leoni, James Blackshire +2

We introduce an optimized physics-informed neural network (PINN) trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate. PINNs are…