most citedPredicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors

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

collaborators

2 papers

physics.chem-ph2025

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory

Runtong Pan, Xinyi Fang, Kamyar Azizzadenesheli +3

Neural operators are capable of capturing nonlinear mappings between infinite-dimensional functional spaces, offering a data-driven approach to modeling complex functional relation…

cond-mat.mtrl-sci2021★ 1 cited

Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors

Boyu Zhang, Mushen Zhou, Jianzhong Wu +1

Accurate prediction of physical properties is critical for discovering and designing novel materials. Machine learning technologies have attracted significant attention in the mate…