Chemistrees: data driven identification of reaction pathways via machine learning

Sander Roet, Christopher David Daub, Enrico Riccardi

We propose a supervised machine learning algorithm, decision trees, to analyze molecular dynamics output. The approach aims to identify the predominant geometric features which cor…