most citedLearning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024★ 2 cited

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…

cond-mat.mtrl-sci2020

Stern Layers on Surfaces of RuO2(100), RuO2(110), and Pt(111): Surface X-ray Scattering Studies

Tomoya Kawaguchi, Reshma R. Rao, Jaclyn R. Lunger +6

Surface X-ray scattering studies of electrochemical Stern layer are reported. The Stern layers formed at the interfaces of RuO2 (110) and (100) in 0.1 M CsF electrolyte are compare…