2 papers
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-sci2018
Modern Data Analytics Approach to Predict Creep of High-Temperature Alloys
Dongwon Shin, Yukinori Yamamoto, Michael P. Brady +2
A breakthrough in alloy design often requires comprehensive understanding in complex multi-component/multi-phase systems to generate novel material hypotheses. We introduce a moder…