Kamal Choudhary

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	Все	Начиная с 2020 г.
Статистика цитирования	5594	5012
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Francesca TavazzaNational Institute of Standards and TechnologyПодтвержден адрес электронной почты в домене nist.gov
Brian L. DeCostNational Institute of Standards and TechnologyПодтвержден адрес электронной почты в домене nist.gov
Kevin F. GarrityResearch Physicist, NISTПодтвержден адрес электронной почты в домене nist.gov
Ankit AgrawalResearch Professor, Northwestern UniversityПодтвержден адрес электронной почты в домене eecs.northwestern.edu
Alok ChoudharyProfessor Northwestern UniversityПодтвержден адрес электронной почты в домене eecs.northwestern.edu
Susan B. SinnottThe Pennsylvania State University, University ParkПодтвержден адрес электронной почты в домене matse.psu.edu
Jason Hattrick-SimpersDepartment of Materials Science and Engineering University of TorontoПодтвержден адрес электронной почты в домене utoronto.ca
TAO LIANGResearch Scientist of Computational Materials Science, University of Tennessee KnovxilleПодтвержден адрес электронной почты в домене psu.edu
Simon PhillpotDistinguished Professor of Materials Science & Engineering, University of FloridaПодтвержден адрес электронной почты в домене mse.ufl.edu
Wei-keng LiaoNorthwestern UniversityПодтвержден адрес электронной почты в домене eecs.northwestern.edu
Carelyn CampbellNational Institute of Standards and TechnologyПодтвержден адрес электронной почты в домене nist.gov
A Gilad KusneMaterials Measurement & Science Division, NIST & Materials Science & Engineering, UMDПодтвержден адрес электронной почты в домене umd.edu
Richard G. HennigUniversity of FloridaПодтвержден адрес электронной почты в домене ufl.edu
Daniel WinesNational Institute of Standards and TechnologyПодтвержден адрес электронной почты в домене nist.gov
Aleksandr Chernatynskiy OR Alexand...Missouri S&TПодтвержден адрес электронной почты в домене mst.edu
Adam J. BiacchiNational Institute of Standards and TechnologyПодтвержден адрес электронной почты в домене nist.gov
Ryan BeamsFDAПодтвержден адрес электронной почты в домене fda.hhs.gov
Sergei V. KalininWeston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNLПодтвержден адрес электронной почты в домене utk.edu
Rama VasudevanR&D Staff, Center for Nanophase Materials Sciences at Oak Ridge NationalПодтвержден адрес электронной почты в домене ornl.gov
Maxim ZiatdinovPacific Northwest National LaboratoryПодтвержден адрес электронной почты в домене pnnl.gov

Kamal Choudhary

National Institute of Standards and Technology

Подтвержден адрес электронной почты в домене nist.gov - Главная страница

Computational Material Science Machine learning Quantum simulations Materials design Materials informatics


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59, 2022	576	2022
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj computational materials 6 (1), 173, 2020	383*	2020
Atomistic line graph neural network for improved materials property predictions K Choudhary, B DeCost npj Computational Materials 7 (1), 185, 2021	370	2021
Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning D Jha, K Choudhary, F Tavazza, W Liao, A Choudhary, C Campbell, ... Nature communications 10 (1), 5316, 2019	303	2019
High-throughput identification and characterization of two-dimensional materials using density functional theory K Choudhary, I Kalish, R Beams, F Tavazza Scientific reports 7 (1), 5179, 2017	264	2017
Characterization of Few-Layer 1T′ MoTe₂ by Polarization-Resolved Second Harmonic Generation and Raman Scattering R Beams, LG Cançado, S Krylyuk, I Kalish, B Kalanyan, AK Singh, ... ACS nano 10 (10), 9626-9636, 2016	190	2016
Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape K Choudhary, B DeCost, F Tavazza Physical review materials 2 (8), 083801, 2018	173	2018
Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics RK Vasudevan, K Choudhary, A Mehta, R Smith, G Kusne, F Tavazza, ... MRS communications 9 (3), 821-838, 2019	164	2019
MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems K Mathew, AK Singh, JJ Gabriel, K Choudhary, SB Sinnott, AV Davydov, ... Computational Materials Science 122, 183-190, 2016	146	2016
Elastic properties of bulk and low-dimensional materials using van der Waals density functional K Choudhary, G Cheon, E Reed, F Tavazza Physical Review B 98 (1), 014107, 2018	137	2018
Accelerated discovery of efficient solar cell materials using quantum and machine-learning methods K Choudhary, M Bercx, J Jiang, R Pachter, D Lamoen, F Tavazza Chemistry of materials 31 (15), 5900-5908, 2019	134	2019
Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations K Choudhary, F Tavazza Computational materials science 161, 300-308, 2019	131	2019
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, JD Bocarsly, AM Bran, ... Digital Discovery 2 (5), 1233-1250, 2023	121	2023
Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms K Choudhary, Q Zhang, ACE Reid, S Chowdhury, N Van Nguyen, Z Trautt, ... Scientific data 5 (1), 1-12, 2018	118	2018
Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data V Gupta, K Choudhary, F Tavazza, C Campbell, W Liao, A Choudhary, ... Nature communications 12 (1), 6595, 2021	115	2021
OPTIMADE, an API for exchanging materials data CW Andersen, R Armiento, E Blokhin, GJ Conduit, S Dwaraknath, ... Scientific data 8 (1), 217, 2021	101	2021
High-throughput density functional perturbation theory and machine learning predictions of infrared, piezoelectric, and dielectric responses K Choudhary, KF Garrity, V Sharma, AJ Biacchi, AR Hight Walker, ... npj computational materials 6 (1), 64, 2020	101	2020
Data-driven discovery of 3D and 2D thermoelectric materials K Choudhary, KF Garrity, F Tavazza Journal of Physics: Condensed Matter 32 (47), 475501, 2020	72	2020
Charge optimized many-body (COMB) potential for Al2O3 materials, interfaces, and nanostructures K Choudhary, T Liang, A Chernatynskiy, SR Phillpot, SB Sinnott Journal of Physics: Condensed Matter 27 (30), 305004, 2015	70	2015
Unified graph neural network force-field for the periodic table: solid state applications K Choudhary, B DeCost, L Major, K Butler, J Thiyagalingam, F Tavazza Digital Discovery 2 (2), 346-355, 2023	63	2023

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