most citedGenerative deep learning as a tool for inverse design of high-entropy refractory alloys

52 citations · 52 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2021★ 52 cited

Generative deep learning as a tool for inverse design of high-entropy refractory alloys

Arindam Debnath, Adam M. Krajewski, Hui Sun +9

Generative deep learning is powering a wave of new innovations in materials design. In this article, we discuss the basic operating principles of these methods and their advantages…