Reply to Comment on ‘Physics-based representations for machine learning properties of chemical reactions’

Recently, we published an article in this journal that explored physics-based representations in combination with kernel models for predicting reaction properties (i.e. TS barrier heights). In an anonymous comment on our contribution, the authors argue, amongst other points, that deep learning model...

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Bibliographic Details
Published in:Machine Learning: Science and Technology
Main Authors: Puck van Gerwen, Matthew D Wodrich, Ruben Laplaza, Clemence Corminboeuf
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/acee43