3 papers
cond-mat.mtrl-sci2021
Data Analytics Approach to Predict High-Temperature Cyclic Oxidation Kinetics of NiCr-based Alloys
Jian Peng, Rishi Pillai, Marie Romedenne +4
Although of practical importance, there is no established modeling framework to accurately predict high-temperature cyclic oxidation kinetics of multi-component alloys due to the i…
cond-mat.mtrl-sci2020
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
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…