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Chia-Hao Lee
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Deep learning enabled strain mapping of single-atom defects in two-dimensional transition metal dichalcogenides with sub-picometer precision
CH Lee, A Khan, D Luo, TP Santos, C Shi, BE Janicek, S Kang, W Zhu, ...
Nano letters 20 (5), 3369-3377, 2020
1042020
Spin–orbit torque switching in a nearly compensated Heusler ferrimagnet
J Finley, CH Lee, PY Huang, L Liu
Advanced Materials 31 (2), 1805361, 2019
582019
Nearly hyperuniform, nonhyperuniform, and antihyperuniform density fluctuations in two-dimensional transition metal dichalcogenides with defects
D Chen, Y Zheng, CH Lee, S Kang, W Zhu, H Zhuang, PY Huang, Y Jiao
Phys. Rev. B 103 (22), 224102, 2021
212021
Effects of surface oxidation of Cu substrates on the growth kinetics of graphene by chemical vapor deposition
RJ Chang, CH Lee, MK Lee, CW Chen, CY Wen
Nanoscale 9 (6), 2324-2329, 2017
212017
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images
A Khan, CH Lee, PY Huang, BK Clark
npj Computational Materials 9 (1), 85, 2023
172023
In Situ Imaging of an Anisotropic Layer-by-Layer Phase Transition in Few-Layer MoTe2
CH Lee, H Ryu, G Nolan, Y Zhang, Y Lee, S Oh, H Cheong, K Watanabe, ...
Nano letters 23 (2), 677-684, 2023
152023
Achieving sub-0.5-angstrom–resolution ptychography in an uncorrected electron microscope
KX Nguyen, Y Jiang, CH Lee, P Kharel, Y Zhang, AM van der Zande, ...
Science 383 (6685), 865-870, 2024
82024
Atom-by-atom imaging of moiré transformations in 2D transition metal dichalcogenides
Y Zhang, JH Baek, CH Lee, Y Jung, SC Hong, G Nolan, K Watanabe, ...
Science Advances 10 (13), eadk1874, 2024
42024
Using CycleGANs to Generate Realistic STEM Images for Machine Learning
A Khan, CH Lee, PY Huang, BK Clark
arXiv e-prints, arXiv: 2301.07743, 2023
22023
Automated acquisition and deep learning of 2D materials on the million-atom scale
CH Lee, A Khan, Y Zhang, MA Hossain, A van der Zande, B Clark, ...
Microscopy and Microanalysis 28 (S1), 3062-3063, 2022
22022
Deep Learning Enabled Atom-by-Atom Analysis of 2D materials on the Million-Atom Scale
CH Lee, A Khan, D Luo, C Shi, Y Zhang, MA Hossain, A van der Zande, ...
Microscopy and Microanalysis 27 (S1), 904-906, 2021
22021
Probing the strain fields of single-atom defects in 2D materials with sub-picometer precision
CH Lee, A Khan, D Luo, T Santos, C Shi, B Janicek, S Kang, N Sobh, ...
Microscopy and Microanalysis 27 (S1), 1944-1944, 2021
22021
Deep Learning Enabled Measurements of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-Picometer Precision
CH Lee, C Shi, D Luo, A Khan, BE Janicek, S Kang, W Zhu, BK Clark, ...
Microscopy and Microanalysis 25 (S2), 172-173, 2019
22019
In-situ Imaging of Anisotropic Layer-by-layer Phase Transition in Few-layer MoTe2
CH Lee, H Ryu, G Nolan, Y Zhang, Y Lee, K Kim, GH Lee, PY Huang
Microscopy and Microanalysis 28 (S1), 2320-2322, 2022
12022
Using cycle-GANS to generate realistic STEM images for defect identification
A Khan, CH Lee, P Huang, B Clark
APS March Meeting Abstracts 2022, Q60. 005, 2022
12022
Machine Learning of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-Picometer Precision
A Khan, B Clark, CH Lee, D Luo, C Shi, S Kang, W Zhu, P Huang
Bulletin of the American Physical Society 65, 2020
12020
Enhancing Depth Resolution of Multislice Ptychography with Data-Driven Prior and Regularization
CH Lee, DA Muller
Microscopy and Microanalysis 30 (Supplement_1), 2024
2024
Electron Ptychography for Deep Sub-angstrom Resolution Without an Aberration Corrector
CH Lee, Y Jiang, K Nguyen, P Kharel, Y Zhang, A van der Zande, ...
Microscopy and Microanalysis 30 (Supplement_1), ozae044. 911, 2024
2024
Using CycleGANs to construct training data for other Machine Learning models
A Khan, CH Lee, P Huang, B Clark
APS March Meeting Abstracts 2023, K53. 009, 2023
2023
Tuning the Optical Properties of 2D Materials with Defects and Strain
CH Lee, Y Zhang, MA Hossain, Y Zhang, AM van der Zande, PY Huang
Microscopy and Microanalysis 28 (S1), 2014-2014, 2022
2022
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