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20162023
most citedMachine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

113 citations · 268 across the 13 of their papers we have counts for

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cond-mat.soft2016★ 9 cited

A variational treatment of material configurations with application to interface motion and microstructural evolution

Gregory H. Teichert, Shiva Rudraraju, Krishna Garikipati

We present a unified variational treatment of evolving configurations in crystalline solids with microstructure. The crux of our treatment lies in the introduction of a vector conf…