Bernstein, Noam

1. A foundation model for atomistic materials chemistry
   2023/12/29 by Ilyes Batatia, Philipp Benner, Batatia, Ilyes +182 · 5 voices · 183 citations
   Decision Sciences · Materials Science · Physics and Astronomy · #physics.chem-ph #cond-mat.mtrl-sci
2. Machine-learned Interatomic Potentials for Alloys and Alloy Phase\n Diagrams
   2019/06/18 by Conrad W. Rosenbrock, Konstantin Gubaev, Rosenbrock, Conrad W. +11 · 13 citations
   Materials Science · #Computational Physics (physics.comp-ph) #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
3. Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics
   2018/03/07 by Deringer, Volker L., Bernstein, Noam, Bartók, Albert P. +6 · 6 citations
   #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
4. ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion
   2023/09/06 by Witt, William C., van der Oord, Cas, Gelžinytė, Elena +10 · 9 citations
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences
5. wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows
   2023/06/20 by Gelžinytė, Elena, Wengert, Simon, Stenczel, Tamás K. +4 · 6 citations
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences