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Kamal Choudhary — most-cited papers & profile · AI for Science
← authors
·
overview
Kamal Choudhary
7
papers ·
47
citations ·
39
h-index
National Institute of Standards and Technology · Johns Hopkins University · Material Measurement Laboratory
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Most-cited papers
Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)
2022 · 34 citations
Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties
2021 · 8 citations
ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
2022 · 3 citations
Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks
2023 · 2 citations
AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors
2025
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example
2023
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison
2023
Top co-authors
Brian DeCost
· 2
Aaron Gilad Kusne
· 1
Aldo H. Romero
· 1
and Qiong Nian
· 1
Arun Mannodi‐Kanakkithodi
· 1
Austin McDannald
· 1
Charles Rhys Campbell
· 1
Daniel Siderius
· 1
Diana Ortiz-Montalvo
· 1
Francesca Tavazza
· 1
Ghanshyam Pilania
· 1
Haofan Sun
· 1
Topics
Materials
Chemistry
Physics ML
Climate & Weather