Kamal Choudhary
National Institute of Standards and Technology(US)Johns Hopkins University(US)Material Measurement Laboratory(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Cardiovascular Function and Risk Factors, Computational Physics and Python Applications, Medical Imaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Recent advances and applications of deep learning methods in materials science(2022)982 cited
- → Atomistic Line Graph Neural Network for improved materials property predictions(2021)638 cited
- → Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning(2019)304 cited
- → High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory(2017)251 cited
- → Characterization of Few-Layer 1T′ MoTe2 by Polarization-Resolved Second Harmonic Generation and Raman Scattering(2016)201 cited
- → 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon(2023)190 cited