Tess Smidt

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Simon Batzner, Albert Musaelian, Lixin Sun et al. · Nature Communications · 2022 · 1.7K citations · Full text

Natural Sciences, Chemistry, Physics +17

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Nathaniel Thomas, Tess Smidt, Steven Kearnes et al. · arXiv (Cornell University) · 2018 · 572 citations · Full text

Computing, Computer Science, Physics +17

Design and construction of the MicroBooNE detector

R. Acciarri, C. Adams, R. An et al. · Journal of Instrumentation · 2017 · 432 citations · Full text

Natural Sciences, Nuclear Engineering, Physics +14

Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows

Kiran Mathew, Joseph H. Montoya, Alireza Faghaninia et al. · Computational Materials Science · 2017 · 368 citations · Full text

Natural Sciences, Computer Science, Materials Science +12

Realization of a three-dimensional spin–anisotropic harmonic honeycomb iridate

K. A. Modic, Tess Smidt, Itamar Kimchi et al. · Nature Communications · 2014 · 269 citations · Full text

Natural Sciences, Materials Science, Physics +10