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D. Sparkman

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

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

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

collaborators

1 paper

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.