2 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cond-mat.supr-con2004★ 2 cited
Laser Micromachining of Coated YBa2Cu3O6+x Superconducting Thin Films
Kenneth E. Hix, Matthew C. Rendina, James L. Blackshire +1
Over the last decade advances in high temperature superconducting (HTS) materials have generated a renewed optimism in the use of this technology in future high-power applications…