Noam Bernstein
- A foundation model for atomistic materials chemistry
2023/12/29 by Ilyes Batatia, Philipp Benner, Batatia, Ilyes +182 · 5 voices · 138 citations
Materials Science · Decision Sciences · #physics.chem-ph #cond-mat.mtrl-sci
- Gaussian Process Regression for Materials and Molecules
2021/08/16 by Volker L. Deringer, Albert P. Bartók, Noam Bernstein +3 · 30 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
- Machine-learned Interatomic Potentials for Alloys and Alloy Phase\n Diagrams
2019/06/18 by Conrad W. Rosenbrock, Rosenbrock, Conrad W., Konstantin Gubaev +11 · 8 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
- Nested sampling for physical scientists
2022/05/26 by G. Ashton, Greg Ashton, Noam Bernstein +30 · 1 voice · 7 citations
Computer Science · Mathematics · Physics and Astronomy · #Cosmology and Gravitation Theories #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy #astro-ph.CO #astro-ph.IM #cond-mat.mtrl-sci #hep-ph #stat.CO
- A universal preconditioner for simulating condensed phase materials
2016/04/26 by David Packwood, James Kermode, Letif Mones +5 · 12 citations
Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Advanced Chemical Physics Studies #Block Copolymer Self-Assembly