Automatic graph representation algorithm for heterogeneous catalysis

One of the most appealing aspects of machine learning for material design is its high throughput exploration of chemical spaces, but to reach the ceiling of machine learning-aided exploration, more than current model architectures and processing algorithms are required. New architectures such as gra...

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Bibliographic Details
Main Authors: Zachary Gariepy, ZhiWen Chen, Isaac Tamblyn, Chandra Veer Singh, Conrard Giresse Tetsassi Feugmo
Format: Article
Language:English
Published: AIP Publishing LLC 2023-09-01
Series:APL Machine Learning
Online Access:http://dx.doi.org/10.1063/5.0140487