marcel.science / eqt
Probing the effects of broken symmetries in machine learning

Hello! 👋 This website is a supplement to our preprint (see below) investigating the impacts of breaking rotational symmetry in machine-learning interatomic potentials.

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Paper

Title: Probing the effects of broken symmetries in machine learning
Authors: Marcel F. Langer, Sergey N. Pozdnyakov, and Michele Ceriotti
Preprint: arxiv:2406.17747 (2024)

Please contact Michele for questions about the paper. You can also say hi on twitter: 🐦 marceldotsci, 🐦 spozdn, and 🐦 MicheleCeriotti.