34 citations · 43 across the 5 of their papers we have counts for
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physics.comp-ph2022★ 34 cited
A Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth
Weishi Yan, Joseph Melville, Vishal Yadav +6
Experimental grain growth observations often deviate from grain growth simulations, revealing that the governing rules for grain boundary motion are not fully understood. A novel d…
eess.SP2022★ 1 cited
Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders
Ishan D. Khurjekar, Joel B. Harley
Guided wave testing is a popular approach for monitoring the structural integrity of infrastructures. We focus on the primary task of damage detection, where signal processing tech…