Preprint
Sep 2026
Learning continuous reaction paths for transition-state prediction
MARC-TS, a two-stage framework that learns a continuous, endpoint-conditioned path, queries it at any resolution and uses local path context to refine a transition-state candidate, is introduced.
Ye-Xiang Yang, Lin-Lin Zhong
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