240 citations · 471 across the 5 of their papers we have counts for
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cond-mat.mtrl-sci2020★ 96 cited
Coupling Physics in Machine Learning to Predict Properties of High-temperatures Alloys
Jian Peng, Yukinori Yamamoto, Jeffrey A. Hawk +2
High-temperature alloy design requires a concurrent consideration of multiple mechanisms at different length scales. We propose a workflow that couples highly relevant physics into…
cond-mat.mtrl-sci2020★ 240 cited
Solute-Vacancy Clustering in Aluminum
Jian Peng, Sumit Bahl, Amit Shyam +2
We present an extensive first-principles database of solute-vacancy, homoatomic, heteroatomic solute-solute, and solute-solute-vacancy binding energies of relevant alloying element…