Machine Learning in Materials Discovery | AIChE

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Machine Learning in Materials Discovery

Chair(s)

Ekerdt, J., University of Texas-Austin

Co-chair(s)

Chang, J., UCLA

Machine Learning in Materials Discovery

Papers

12:30 PM
(154a) Data-Driven Protein Design
12:56 PM
(154b) Low-Dimensional Fluctuating Interfaces for Efficient Separations
1:22 PM
(154c) Enabling Catalyst Discovery through High-Throughput Experimentation and Machine Learning
1:48 PM
(154d) Predicting the Transition Temperature of Multi-Responsive Poly(N-isopropylacrylamide)-Based Microgels Using a Cluster-Based Partial Least Squares Modelling Approach
2:04 PM
(154e) Designing Metamorphic Materials with a Machine-Learning Guided Genetic Algorithm
2:20 PM
(154f) Establishing Structure-Function Relationships in Low-Dimensional Mxenes Using Machine Learning
2:36 PM
(154g) High Strength Polymer Composites Design for Lightweight Vehicles Via Stacked Transfer Learning and Explainable Artificial Intelligence

Topics 

Materials
Interfacial Phenomena
Energy (Sustainability & Environment)

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Pricing

Individuals

AIChE Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00

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