Structural motifs classification in 2D materials

Last updated on Apr 26, 2024 motifs, classification, defects, 2D materials
Image credit: Jiadong Dan

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.
Academic
Jiadong Dan
Jiadong Dan
Eric and Wendy Schmidt AI in Science Fellow

My research interests include physics-informed machine learning and scanning transmission electron microscopy.