Shifa Zhong

Activity Landscape Roughness Anticipates Machine-Learning Reliability Across Environmental Chemistry Endpoints

Abstract Machine learning increasingly supports chemical risk assessment under REACH, TSCA, and OECD QSAR frameworks, but random-split performance can be optimistic for structurally novel chemicals. We ask whether task difficulty can be anticipated before model training. EnvMolBe...