142 citations · 203 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2023★ 61 cited
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images
Abid Khan, Chia-Hao Lee, Pinshane Y. Huang +1
The rise of automation and machine learning (ML) in electron microscopy has the potential to revolutionize materials research through autonomous data collection and processing. A s…
cs.LG2022
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System
M. Rahman, Abid Khan, Sayeed Anowar +5
Industry 4.0 targets the conversion of the traditional industries into intelligent ones through technological revolution. This revolution is only possible through innovation, optim…
cond-mat.mtrl-sci2020★ 142 cited
Deep Learning Enabled Strain Mapping of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-picometer Precision
Chia-Hao Lee, Abid Khan, Di Luo +9
2D materials offer an ideal platform to study the strain fields induced by individual atomic defects, yet challenges associated with radiation damage have so-far limited electron m…