Huaiqian Wang

Data-efficient exploration of atomic clusters via uncertainty quantification on complex potential energy surfaces.

This study developed and evaluated three different UQ frameworks based on advanced UQ methods and integrated with graph neural networks: Bayesian Neural Networks, Evidence Neural Networks, and Monte Carlo Dropout, and shows that ENN effectively reflects data adequacy, while MCD exhibits excellent robustness.