most citedA Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth

34 citations · 34 across the 1 of their papers we have counts for

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1 paper

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…