Simon Batzner



E-Mail: echo "moc.liamg@renztabnomis" | rev


I am a Research Scientist at Google DeepMind in San Francisco. My interests lie at the intersection of deep learning, chemistry, and physics. Before joining Google DeepMind, I obtained my PhD in Applied Mathematics from Harvard University. My PhD work invented equivariant interatomic potentials [1, 2, 3]. During my PhD, I also spent seven months working with Ekin Dogus Cubuk at Google Brain. I am originally from a small, but beautiful town a few minutes from the Bavarian Alps.




Here is a link to my Google Scholar.


Here is a link to my Linkedin.

Invited talks


During my PhD together with my coworkers we published two codes for the NequIP and Allegro potential. Both are public on my former PhD group's Github. If you have questions, please reach out to the current developers on the GitHub, they are happy to help: Both of these also come with a LAMMPS pair_style, written by my brilliant former labmate Anders Johansson, which can be found here:

Referee Activity

Reviewer for Nature Computational Science, NeurIPS, ICML, Nature Communications, Communications Chemistry, Journal of Chemical Theory and Computation, ACS Nano


Last updated: 12/2023