Noam Bernstein

United States Naval Research Laboratory — United States

Materials Science · Physical Sciences

48h-index11.6kcitations236works8.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning in Materials Science(37), Advanced Chemical Physics Studies(25), Thin-Film Transistor Technologies(18), Microstructure and mechanical properties(17), Solid-state spectroscopy and crystallography(15)

Publications236 total

Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects
ACS Nano·2026
Enhancing the Boron Content to Produce Superhard Steel Exhibiting Soft Ferromagnetic Properties for Extreme Environment
SSRN Electronic Journal·2026Open Access
A foundation model for atomistic materials chemistry
The Journal of Chemical Physics·2025· 65 citedOpen Access
Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects
arXiv (Cornell University)·2025Open Access
Thermodynamical phase-stability of a Cu-Al binary system using machine-learning interatomic potentials
Physical Review Materials·2025· 2 cited
Cs<sub>3</sub>H<sub>2</sub>[BOB(PO<sub>4</sub>)<sub>3</sub>] - the Best-Performing 1D Borophosphate Intermediate Temperature Proton Electrolyte
ACS Omega·2025Open Access
Dislocation-enabled plasticity in rutile TiO<sub>2−<i>x</i></sub> at room temperature
Nanoscale·2025· 1 citedOpen Access
Mitigating polysulfide crossover in lithium–sulfur batteries with polymer-coated separators
RSC Applied Interfaces·2024· 4 citedOpen Access
Author response for "Mitigating Polysulfide Crossover in Lithium–Sulfur Batteries with Polymer-Coated Separators"
2024
A foundation model for atomistic materials chemistry
arXiv (Cornell University)·2023· 229 citedOpen Access
ACEpotentials.jl: A Julia implementation of the atomic cluster expansion
The Journal of Chemical Physics·2023· 36 citedOpen Access
<tt>wfl</tt> Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows
The Journal of Chemical Physics·2023· 13 citedOpen Access
ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion
arXiv (Cornell University)·2023Open Access
(Invited) Understanding the Role of Dopants (Al, Zn, Zr) in Altering Charge-Storage Capacity and Cycling Profiles of VFe<sub>2</sub>O<sub>x </sub>
ECS Meeting Abstracts·2023
wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows
arXiv (Cornell University)·2023· 4 citedOpen Access
Author Correction: Nested sampling for physical scientists
Nature Reviews Methods Primers·2022· 2 citedOpen Access
Nested sampling for physical scientists
Nature Reviews Methods Primers·2022· 134 citedOpen Access
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>A</mml:mi><mml:mi>b</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mi>i</mml:mi><mml:mi>o</mml:mi></mml:mrow></mml:math> point defect calculations for structural properties of a model austenitic steel alloy
Physical Review Materials·2022· 3 cited
Li<sup>+</sup> Diffusion in Amorphous and Crystalline Al<sub>2</sub>O<sub>3</sub> for Battery Electrode Coatings
Chemistry of Materials·2021· 32 citedOpen Access
Gaussian Process Regression for Materials and Molecules
Chemical Reviews·2021· 1.1k citedOpen Access
page 1 of 12Next →

Frequent Co-authors

Gábor Cśanyi(15), Efthimios Kaxiras(9), Volker L. Deringer(8), Michael J. Mehl(7), James R. Kermode(6), Albert P. Bartók(4), Michele Ceriotti(4), Peter C. Sercel(4), John L. Lyons(4), Alexander L. Efros(4), Farid F. Abraham(4), C. Stephen Hellberg(4), D. A. Papaconstantopoulos(4), Sandip De(3), Jeremy Q. Broughton(3), Stephen R. Elliott(3), Clare P. Grey(3), Gennady Y. Gor(3), M. D. Johannes(3), Ellad B. Tadmor(3)