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Karan Shah
Karan Shah
Center for Advanced Systems Understanding (CASUS), HZDR
Dirección de correo verificada de hzdr.de - Página principal
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Citado por
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Año
Fourier Spectrum Discrepancies in Deep Network Generated Images
T Dzanic, K Shah, F Witherden
arXiv preprint arXiv:1911.06465, 2019
1122019
Deep dive into machine learning density functional theory for materials science and chemistry
L Fiedler, K Shah, M Bussmann, A Cangi
Physical Review Materials 6 (4), 040301, 2022
492022
Physics-Informed Neural Networks as Solvers for the Time-Dependent Schr\" odinger Equation
K Shah, P Stiller, N Hoffmann, A Cangi
arXiv preprint arXiv:2210.12522, 2022
32022
Inferring student success predictors for CS1301x online course at Georgia Tech
K Shah, M Bach, N Qin, A Liu, H Hussen, JY Lee, R Kadel
Poster session presented at the American Society of Engineering Education …, 2017
22017
Inverting the Kohn–Sham equations with physics-informed machine learning
V Martinetto, K Shah, A Cangi, A Pribram-Jones
Machine Learning: Science and Technology 5 (1), 015050, 2024
2024
Physics-Informed Machine Learning for Addressing Challenges in Static and Time-Dependent Density Functional Theory
K Shah, A Cangi
Bulletin of the American Physical Society, 2024
2024
Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice
K Shah, J Butler, A Knaub, A Zenginoğlu, W Ratcliff, M Soltanieh-ha
arXiv preprint arXiv:2403.00961, 2024
2024
Machine-Learning for Static and Dynamic Electronic Structure Theory
L Fiedler, K Shah, A Cangi
Machine Learning in Molecular Sciences, 113-160, 2023
2023
Accelerating Time-Dependent Density Functional Theory with Physics-Informed Neural Networks
K Shah, A Cangi
APS March Meeting Abstracts 2022, M01. 007, 2022
2022
Hierarchical Bayesian Modeling
K Shah
Bulletin of the American Physical Society 63, 2018
2018
Uncertainty Quantification of Machine Learned Density Functionals
K Shah
Georgia Institute of Technology, 2018
2018
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Artículos 1–11