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Publications
Proceedings
2022 Annual Meeting
Topical Conference: Material Interfaces as Energy Solutions
Machine Learning in Materials Discovery
2022 Annual Meeting
Session: Machine Learning in Materials Discovery
Chair
Ekerdt, J.
, University of Texas-Austin
Co-Chair
Chang, J.
, UCLA
Presentations
12:30 PM
(154a) Data-Driven Protein Design
Ferguson, A.
12:56 PM
(154b) Low-Dimensional Fluctuating Interfaces for Efficient Separations
Aluru, N.
01:22 PM
(154c) Enabling Catalyst Discovery through High-Throughput Experimentation and Machine Learning
Lauterbach, J.
01:48 PM
(154d) Predicting the Transition Temperature of Multi-Responsive Poly(N-isopropylacrylamide)-Based Microgels Using a Cluster-Based Partial Least Squares Modelling Approach
Tayebi, S. S.
,
Mhaskar, P.
,
Hoare, T.
02:04 PM
(154e) Designing Metamorphic Materials with a Machine-Learning Guided Genetic Algorithm
Chen, K. L.
,
Schulman, R.
02:20 PM
(154f) Establishing Structure-Function Relationships in Low-Dimensional Mxenes Using Machine Learning
Choksi, T.
,
Roy, P.
,
Rekhi, L.
,
Li, H.
,
Koh, S. W.
02:36 PM
(154g) High Strength Polymer Composites Design for Lightweight Vehicles Via Stacked Transfer Learning and Explainable Artificial Intelligence
Lee, J.
,
Shin, D.
,
Yoon, E. S.