2 citations · 2 across the 3 of their papers we have counts for
3 papers
Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks
Jiayu Peng, James Damewood, Jessica Karaguesian +2
Graph convolutional neural networks (GCNNs) have become a machine learning workhorse for screening the chemical space of crystalline materials in fields such as catalysis and energ…
Data-Driven, Physics-Informed Descriptors of Cation Ordering in Multicomponent Oxides
Jiayu Peng, James Damewood, Rafael Gómez-Bombarelli
The structural tunability and compositional diversity of multicomponent perovskite oxides have enabled their various applications, including catalysis and electronics. The cation o…
Representations of Materials for Machine Learning
James Damewood, Jessica Karaguesian, Jaclyn R. Lunger +4
High-throughput data generation methods and machine learning (ML) algorithms have given rise to a new era of computational materials science by learning relationships among composi…