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Kamal Choudhary
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2020 – today
- 2023
- [j2]Kamal Choudhary
, Ramya Gurunathan, Brian DeCost
AtomVision: A Machine Vision Library for Atomistic Images. J. Chem. Inf. Model. 63(6): 1708-1722 (2023) - [j1]Vishu Gupta, Kamal Choudhary
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. J. Chem. Inf. Model. 63(7): 1865-1871 (2023) - [i6]Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023) - [i5]Xinyu Jiang, Haofan Sun, Kamal Choudhary, Houlong Zhuang, Qiong Nian:
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example. CoRR abs/2308.10818 (2023) - [i4]Francesca Tavazza, Kamal Choudhary, Brian DeCost:
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison. CoRR abs/2310.13136 (2023) - 2022
- [i3]Prathik R. Kaundinya, Kamal Choudhary, Surya R. Kalidindi:
Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN). CoRR abs/2201.08348 (2022) - 2021
- [i2]Francesca Tavazza, Brian DeCost, Kamal Choudhary:
Uncertainty Prediction for Machine Learning Models of Material Properties. CoRR abs/2107.07997 (2021) - [i1]Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu:
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. CoRR abs/2111.05885 (2021)
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