Kamal Choudhary

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Venues

Scientific data

Nature communications

The journal of physical chemistry letters

Digital discovery

University of Florida (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

University of Florida Aug 03 2011 - May 10 2015

United States

PHD :: materials science and engineering

Publications

Kamal Choudhary
AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design. The journal of physical chemistry letters 15 (27) (2024)
Kangming Li, Daniel Persaud, Kamal Choudhary, Brian L DeCost, Michael Greenwood, Jason R Hattrick-Simpers
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data. Nature communications 15 (1) (2024)
Kamal Choudhary
AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design. The journal of physical chemistry letters (2024)
Matthew L Evans, Johan Bergsma, Andrius Merkys, Casper Welzel Andersen, Oskar B Andersson, Daniel Beltrán, Evgeny Blokhin, Tara M Boland, Rubén Castañeda Balderas, Kamal Choudhary, Alberto Díaz Díaz, Rodrigo Domínguez García, Hagen Eckert, Kristjan Eimre, María Elena Fuentes Montero, Adam M Krajewski, Jens Jørgen Mortensen, José Manuel Nápoles Duarte, Jacob Pietryga, Ji Qi, Felipe de Jesús Trejo Carrillo, Antanas Vaitkus, Jusong Yu, Adam Zettel, Pedro Baptista de Castro, Johan Carlsson, Tiago F T Cerqueira, Simon Divilov, Hamidreza Hajiyani, Felix Hanke, Kevin Jose, Corey Oses, Janosh Riebesell, Jonathan Schmidt, Donald Winston, Christen Xie, Xiaoyu Yang, Sara Bonella, Silvana Botti, Stefano Curtarolo, Claudia Draxl, Luis Edmundo Fuentes Cobas, Adam Hospital, Zi-Kui Liu, Miguel A L Marques, Nicola Marzari, Andrew J Morris, Shyue Ping Ong, Modesto Orozco, Kristin Aslaug Persson, Kristian Sommer Thygesen, Christopher M Wolverton, Markus Scheidgen, Cormac Toher, Gareth J Conduit, Giovanni Pizzi, Saulius Gražulis, Gian Marco Rignanese, Rickard Armiento
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange. Digital discovery 3 (8) (2024)
Matthew L Evans, Johan Bergsma, Andrius Merkys, Casper Welzel Andersen, Oskar B Andersson, Daniel Beltrán, Evgeny Blokhin, Tara M Boland, Rubén Castañeda Balderas, Kamal Choudhary, Alberto Díaz Díaz, Rodrigo Domínguez García, Hagen Eckert, Kristjan Eimre, María Elena Fuentes Montero, Adam M Krajewski, Jens Jørgen Mortensen, José Manuel Nápoles Duarte, Jacob Pietryga, Ji Qi, Felipe de Jesús Trejo Carrillo, Antanas Vaitkus, Jusong Yu, Adam Zettel, Pedro Baptista de Castro, Johan Carlsson, Tiago F T Cerqueira, Simon Divilov, Hamidreza Hajiyani, Felix Hanke, Kevin Jose, Corey Oses, Janosh Riebesell, Jonathan Schmidt, Donald Winston, Christen Xie, Xiaoyu Yang, Sara Bonella, Silvana Botti, Stefano Curtarolo, Claudia Draxl, Luis Edmundo Fuentes Cobas, Adam Hospital, Zi-Kui Liu, Miguel A L Marques, Nicola Marzari, Andrew J Morris, Shyue Ping Ong, Modesto Orozco, Kristin Aslaug Persson, Kristian Sommer Thygesen, Christopher M Wolverton, Markus Scheidgen, Cormac Toher, Gareth J Conduit, Giovanni Pizzi, Saulius Gražulis, Gian Marco Rignanese, Rickard Armiento
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange. Digital discovery 3 (8) (2024)
Kangming Li, Daniel Persaud, Kamal Choudhary, Brian L DeCost, Michael Greenwood, Jason R Hattrick-Simpers
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data. Nature communications 15 (1) (2024)
Kamal Choudhary, Ramya Gurunathan, Brian L DeCost, Adam J Biacchi
AtomVision: A Machine Vision Library for Atomistic Images. Journal of chemical information and modeling (2023)
Kangming Li, Daniel Persaud, Kamal Choudhary, Brian L DeCost, Michael Greenwood, Jason R Hattrick-Simpers
Exploiting redundancy in large materials datasets for efficient machine learning with less data. Nature communications 14 (1) (2023)
Vishu Gupta, Kamal Choudhary, Yuwei Mao, Kewei Wang, Francesca Tavazza, Carelyn Campbell, Wei-Keng Liao, Alok Choudhary, Ankit Agrawal
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. Journal of chemical information and modeling (2023)
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D Bocarsly, Andres M Bran, Stefan Bringuier, L Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A de Jong, Matthew L Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur Kumar Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Ranković, Samuel G Rodriques, Jacob N Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E Smith, Joren Van Herck, Christoph Völker, Logan Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K J Schmidt, Ian T Foster, Andrew D White, Ben Blaiszik
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon. Digital discovery 2 (5) (2023)
Daniel Wines, Tian Xie, Kamal Choudhary
Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models. The journal of physical chemistry letters (2023)
Fancy Qian Wang, Kamal Choudhary, Yu Liu, Jianjun Hu, Ming Hu
Large scale dataset of real space electronic charge density of cubic inorganic materials from density functional theory (DFT) calculations. Scientific data 9 (1) (2022)
Francesca Tavazza, Brian L DeCost, Kamal Choudhary
Uncertainty Prediction for Machine Learning Models of Material Properties. ACS omega 6 (48) (2021)
Kevin F Garrity, Kamal Choudhary
Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory. Scientific data 8 (1) (2021)
Casper W Andersen, Rickard Armiento, Evgeny Blokhin, Gareth J Conduit, Shyam S Dwaraknath, Matthew L Evans, Ádám Fekete, Abhijith Gopakumar, Saulius Gražulis, Andrius Merkys, Fawzi Mohamed, Corey Oses, Giovanni Pizzi, Gian Marco Rignanese, Markus Scheidgen, Leopold Talirz, Cormac Toher, Donald Winston, Rossella Aversa, Kamal Choudhary, Pauline Colinet, Stefano Curtarolo, Davide Di Stefano, Claudia Draxl, Süleyman Er, Marco Esters, Marco Fornari, Matteo Giantomassi, Marco Govoni, Geoffroy Hautier, Vinay Hegde, Matthew K Horton, Patrick Huck, Georg Huhs, Jens Hummelshøj, Ankit Kariryaa, Boris Kozinsky, Snehal Kumbhar, Mohan Liu, Nicola Marzari, Andrew J Morris, Arash A Mostofi, Kristin A Persson, Guido Petretto, Thomas Purcell, Francesco Ricci, Frisco Rose, Matthias Scheffler, Daniel Speckhard, Martin Uhrin, Antanas Vaitkus, Pierre Villars, David Waroquiers, Chris Wolverton, Michael Wu, Xiaoyu Yang
OPTIMADE, an API for exchanging materials data. Scientific data 8 (1) (2021)
Kamal Choudhary, Kevin F Garrity, Charles Camp, Sergei V Kalinin, Rama Vasudevan, Maxim Ziatdinov, Francesca Tavazza
Computational scanning tunneling microscope image database. Scientific data 8 (1) (2021)
Vishu Gupta, Kamal Choudhary, Francesca Tavazza, Carelyn Campbell, Wei-Keng Liao, Alok Choudhary, Ankit Agrawal
Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data. Nature communications 12 (1) (2021)
Kamal Choudhary
Quantum computation for predicting electron and phonon properties of solids. Journal of physics. Condensed matter : an Institute of Physics journal 33 (38) (2021)
Kamal Choudhary, Jaafar N Ansari, Igor I Mazin, Karen L Sauer
Density functional theory-based electric field gradient database. Scientific data 7 (1) (2020)

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Publication Activity (10 Years)

Top Topics

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Kamal Choudhary