most citedFIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2025★ 2 cited

FIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Circe Hsu, Claire Schlesinger, Karan Mudaliar +3

The work function and cleavage energy of a surface are critical properties that determine the viability of materials in electronic emission applications, semiconductor devices, and…