Jiadong Dan
Jiadong Dan
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Research
Feature learning for STEM data
Selected publications:
1.
Jiadong Dan
, Xiaoxu Zhao, Shoucong Ning, Jiong Lu, Kian Ping Loh, Qian He, N. Duane Loh, Stephen J. Pennycook
(2022).
Learning motifs and their hierarchies in atomic resolution microscopy
.
Science Advances
.
2.
Jiadong Dan
, Xiaoxu Zhao, Qian He, N. Duane Loh, Stephen J. Pennycook
(2022).
Exploring motifs and their hierarchies in crystals via unsupervised learning
.
Microscopy and Microanalysis
.
3.
Stephen J. Pennycook,
Jiadong Dan
, Xiaoxu Zhao, Shoucong Ning, Wu Zhou, Qian He, N. Duane Loh
(2022).
Navigating the nanoworld:automatic feature recognition
.
Microscopy and Microanalysis
.
Last updated on Apr 26, 2024
Feature learning
Machine learning for disordered materials
Selected publications:
1.
Jiadong Dan
, Moaz Waqar, Ivan Erofeev, Kui Yao, John Wang, Stephen J. Pennycook, N. Duane Loh
(2023).
A multiscale generative model to understand disorder in domain boundaries.
.
Science Advances
.
2.
Jiadong Dan
, Moaz Waqar, Stephen J. Pennycook, N. Duane Loh
(2023).
Exploring the emergence of complex grain boundary structures via hybrid probabilistic generative model
.
Microscopy and Microanalysis
.
Last updated on Apr 26, 2024
disordered materials
,
emergence
,
complexity
Structural motifs classification in 2D materials
Selected publications:
1.
Jiadong Dan
, Xiaoxu Zhao, Stephen J. Pennycook
(2019).
A machine perspective of atomic defects in scanning transmission electron microscopy
.
InfoMat
.
2.
Jiadong Dan
, Xiaoxu Zhao, Shoucong Ning, Jiong Lu, Kian Ping Loh, Qian He, N. Duane Loh, Stephen J. Pennycook
(2022).
Learning motifs and their hierarchies in atomic resolution microscopy
.
Science Advances
.
3.
Jiadong Dan
, Xiaoxu Zhao, Qian He, N. Duane Loh, Stephen J. Pennycook
(2022).
Exploring motifs and their hierarchies in crystals via unsupervised learning
.
Microscopy and Microanalysis
.
4.
Stephen J. Pennycook,
Jiadong Dan
, Xiaoxu Zhao, Shoucong Ning, Wu Zhou, Qian He, N. Duane Loh
(2022).
Navigating the Nanoworld:Automatic Feature Recognition
.
Microscopy and Microanalysis
.
5.
Xiaoxu Zhao, Peng Song, Chengcai Wang, Anders C Riis-Jensen, Wei Fu, Ya Deng, Dongyang Wan, Lixing Kang, Shoucong Ning,
Jiadong Dan
, T Venkatesan, Zheng Liu, Wu Zhou, Kristian S Thygesen, Xin Luo, Stephen J. Pennycook, Kian Ping Loh
(2020).
Engineering covalently bonded 2D layered materials by self-intercalation
.
Nature
.
6.
Xiaocang Han, Mengmeng Niu, Yan Luo, Runlai Li,
Jiadong Dan
, Yanhui Hong, Xu Wu, Alex V Trukhanov, Wei Ji, Yeliang Wang, Jiahuan Zhou, Jingsi Qiao, Jin Zhang, Xiaoxu Zhao
(2024).
Atomically engineering metal vacancies in monolayer transition metal dichalcogenides
.
Nature Synthesis
.
Last updated on Apr 26, 2024
motifs
,
classification
,
defects
,
2D materials
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