Beyond the Training Domain: Robust Generative Transition State Models for Unseen Chemistry

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Authors: Samir Darouich
Cited by: 1

Abstract

Pretrained models as well as the curated datasets. AEFM: configs and database to train and run inference using adaptive equilibrium flow matching. OAReactDiff: codebase and training script to finetune the published OAReactDiff checkpoint with the new embedding layer, as well as with the newly developed self-supervised scheme. ReactOT: codebase and training/inference script to train and sample with ReactOT checkpoint_: Checkpoints for all models used in the work

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 June 2026
Document type
Dataset