Noam Bernstein

11.7k total citations · 6 hit papers
119 papers, 8.5k citations indexed

About

Noam Bernstein is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Noam Bernstein has authored 119 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Materials Chemistry, 33 papers in Atomic and Molecular Physics, and Optics and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Noam Bernstein's work include Machine Learning in Materials Science (18 papers), Advanced Chemical Physics Studies (18 papers) and Microstructure and mechanical properties (12 papers). Noam Bernstein is often cited by papers focused on Machine Learning in Materials Science (18 papers), Advanced Chemical Physics Studies (18 papers) and Microstructure and mechanical properties (12 papers). Noam Bernstein collaborates with scholars based in United States, United Kingdom and Germany. Noam Bernstein's co-authors include Gábor Cśanyi, Efthimios Kaxiras, Albert P. Bartók, Volker L. Deringer, Farid F. Abraham, James R. Kermode, Michele Ceriotti, Jeremy Q. Broughton, Ellad B. Tadmor and Michael J. Mehl and has published in prestigious journals such as Nature, Chemical Reviews and Physical Review Letters.

In The Last Decade

Noam Bernstein

115 papers receiving 8.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bright triplet excitons in caesium lead halide perovskites

2018 820 citations Roman Vaxenburg, Peter C. Sercel et al. Nature profile →
Gaussian Process Regression for Materials and Molecules

2021 766 citations Volker L. Deringer, Albert P. Bartók et al. profile →
Machine learning unifies the modeling of materials and molecules

2017 495 citations Albert P. Bartók, Noam Bernstein et al. Science Advances profile →
Concurrent coupling of length scales: Methodology and application

1999 459 citations Noam Bernstein et al. profile →
Machine Learning a General-Purpose Interatomic Potential for Silicon

2018 349 citations Albert P. Bartók, James R. Kermode et al. profile →
Origins of structural and electronic transitions in disordered silicon

2021 254 citations Volker L. Deringer, Noam Bernstein et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noam Bernstein United States	42	5.8k	2.5k	1.8k	1.1k	911	119	8.5k
Aidan P. Thompson United States	32	7.3k 1.2×	1.8k 0.7×	1.5k 0.9×	1.6k 1.4×	2.2k 2.4×	86	12.0k
Hasan Metin Aktulga United States	20	5.7k 1.0×	1.8k 0.7×	1.5k 0.8×	1.4k 1.2×	1.9k 2.0×	56	10.6k
Christian Robert Trott United States	12	4.5k 0.8×	1.3k 0.5×	940 0.5×	882 0.8×	1.6k 1.8×	23	8.7k
Volker L. Deringer United Kingdom	48	11.3k 1.9×	4.8k 1.9×	1.6k 0.9×	616 0.5×	1.2k 1.3×	142	15.1k
Axel Kohlmeyer United States	18	4.4k 0.8×	1.4k 0.6×	1.1k 0.6×	889 0.8×	1.6k 1.8×	31	8.5k
Shreyas Cholia United States	12	9.3k 1.6×	4.8k 1.9×	955 0.5×	422 0.4×	1.4k 1.5×	28	13.3k
Gus L. W. Hart United States	35	6.0k 1.0×	1.7k 0.7×	1.0k 0.6×	433 0.4×	1.6k 1.7×	114	8.1k
Paul Crozier United States	22	4.7k 0.8×	1.3k 0.5×	1.1k 0.6×	896 0.8×	1.6k 1.7×	46	9.0k
Subramanian K. R. S. Sankaranarayanan United States	44	4.4k 0.8×	2.1k 0.8×	1.2k 0.7×	1.4k 1.2×	1.8k 2.0×	237	7.9k
Trung Dac Nguyen United States	25	5.2k 0.9×	1.4k 0.6×	1.0k 0.6×	937 0.8×	1.7k 1.9×	53	9.6k

Countries citing papers authored by Noam Bernstein

Since Specialization

Citations

This map shows the geographic impact of Noam Bernstein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noam Bernstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Bernstein more than expected).

Fields of papers citing papers by Noam Bernstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noam Bernstein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noam Bernstein. The network helps show where Noam Bernstein may publish in the future.

Co-authorship network of co-authors of Noam Bernstein

This figure shows the co-authorship network connecting the top 25 collaborators of Noam Bernstein. A scholar is included among the top collaborators of Noam Bernstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noam Bernstein. Noam Bernstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Bo, Nicholas A. Richter, Huan Li, et al.. (2025). Dislocation-enabled plasticity in rutile TiO_2−x at room temperature. Nanoscale. 17(35). 20338–20350.

Antillon, E. & Noam Bernstein. (2025). Thermodynamical phase-stability of a Cu-Al binary system using machine-learning interatomic potentials. Physical Review Materials. 9(8).

Yeom, Junghoon, Hunter O. Ford, Zachary G. Neale, et al.. (2024). Mitigating polysulfide crossover in lithium–sulfur batteries with polymer-coated separators. RSC Applied Interfaces. 2(2). 472–483. 2 indexed citations

Witt, William C., Cas van der Oord, James P. Darby, et al.. (2023). ACEpotentials.jl: A Julia implementation of the atomic cluster expansion. The Journal of Chemical Physics. 159(16). 28 indexed citations

Deringer, Volker L., Noam Bernstein, Gábor Cśanyi, et al.. (2021). Origins of structural and electronic transitions in disordered silicon. Nature. 589(7840). 59–64. 254 indexed citations breakdown →

Huang, Jianmei, Peter C. Sercel, Milan Delor, et al.. (2020). Effect of Anisotropic Confinement on Electronic Structure and Dynamics of Band Edge Excitons in Inorganic Perovskite Nanowires. The Journal of Physical Chemistry A. 124(9). 1867–1876. 35 indexed citations

Cheng, Bingqing, Ryan‐Rhys Griffiths, Simon Wengert, et al.. (2020). Mapping Materials and Molecules. Accounts of Chemical Research. 53(9). 1981–1991. 89 indexed citations

Sercel, Peter C., John L. Lyons, Noam Bernstein, & Alexander L. Efros. (2019). Quasicubic model for metal halide perovskite nanocrystals. The Journal of Chemical Physics. 151(23). 234106–234106. 81 indexed citations

Li, Jin, Jaehun Cho, Jie Ding, et al.. (2019). Nanoscale stacking fault–assisted room temperature plasticity in flash-sintered TiO ₂. Science Advances. 5(9). eaaw5519–eaaw5519. 109 indexed citations

10.

Sercel, Peter C., John L. Lyons, Darshana Wickramaratne, et al.. (2019). Exciton Fine Structure in Perovskite Nanocrystals. Nano Letters. 19(6). 4068–4077. 154 indexed citations

11.

Mocanu, Felix C., Konstantinos Konstantinou, Tae Hoon Lee, et al.. (2018). Modeling the Phase-Change Memory Material, Ge2Sb2Te5, with a Machine-Learned Interatomic Potential. The Journal of Physical Chemistry. 5 indexed citations

12.

Deringer, Volker L., Noam Bernstein, Albert P. Bartók, et al.. (2018). Realistic Atomistic Structure of Amorphous Silicon from Machine-Learning-Driven Molecular Dynamics. The Journal of Physical Chemistry Letters. 9(11). 2879–2885. 199 indexed citations

13.

Fears, Kenan P., Manoj K. Kolel‐Veetil, Daniel E. Barlow, et al.. (2018). High-performance nanomaterials formed by rigid yet extensible cyclic β-peptide polymers. Nature Communications. 9(1). 4090–4090. 16 indexed citations

14.

Lechermann, Frank, Noam Bernstein, I. I. Mazin, & Roser Valentí. (2018). Uncovering the Mechanism of the Impurity-Selective Mott Transition in Paramagnetic V2O3. Physical Review Letters. 121(10). 106401–106401. 19 indexed citations

15.

Hellberg, C. Stephen, Noam Bernstein, & Steven C. Erwin. (2016). Point defects in yttria-stabilized zirconia. Bulletin of the American Physical Society. 2016. 1 indexed citations

16.

Miller, Ronald E., et al.. (2016). Molecular dynamics at constant Cauchy stress. The Journal of Chemical Physics. 144(18). 184107–184107. 19 indexed citations

17.

Liu, Xiao, Joseph L. Feldman, David G. Cahill, et al.. (2011). Anomalously High Thermal Conductivity of Amorphous Silicon Films Prepared by Hot-wire Chemical Vapor Deposition. Chinese Journal of Physics. 49(1). 359–368. 1 indexed citations

18.

Bernstein, Noam, Csilla Várnai, M. C. Payne, et al.. (2011). QM/MM simulation of liquid water with an adaptive quantum region. Physical Chemistry Chemical Physics. 14(2). 646–656. 69 indexed citations

19.

Liu, Xiao, Joseph L. Feldman, David G. Cahill, et al.. (2009). High Thermal Conductivity of a Hydrogenated Amorphous Silicon Film. Physical Review Letters. 102(3). 35901–35901. 72 indexed citations

20.

Bernstein, Noam & D. W. Hess. (2003). Lattice Trapping Barriers to Brittle Fracture. Physical Review Letters. 91(2). 25501–25501. 129 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact