Category:
Theoretical and Computational Chemistry
,
Working Paper
, Title:
GoFlow: Efficient Transition State Geometry Prediction with Flow Matching and E(3)-Equivariant Neural Networks
, Authors:
Leonard Galustian, Konstantin Mark, Johannes Karwounopoulos, Maximilian P.-P. Kovar, Esther Heid
Version 1 posted 30 April 2025
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