Published Mar 11, 2019
Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
PhD student Kevin Tran delves into his innovative research on active learning workflows for catalyst design, focusing on optimizing chemical bonding through machine learning to enhance renewable energy applications, and tackles the complexities of density functional theory in improving catalyst performance.
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