YAN, Jun

Assistant Professor

Presidential Young Fellow
Education Background

Ph.D. (South China University of Technology)

B.S. (South China University of Technology)

Research Field
Organic electronics, modelling, device physics, photovoltaics, renewable energy
Academic Area
Physics, Materials
Personal Website

Dr. Yan received his B.Eng. in 2012 and Ph.D. in 2018 (supervised by Prof. Hongbin Wu and Prof. Yong Cao) both at South China University of Technology. He was a key member in Prof. Jenny Nelson’s group between 2017 and 2022, and currently an academic visitor in Department of Physics at Imperial College London. He joined The Chinese University of Hong Kong, Shenzhen as a tenure-track assistant professor in May 2023. His research focuses on using combined theoretical and experimental approaches to understand the device and molecular physics of organic molecular optoelectronic devices, including photovoltaics, light-emitting-diodes, and photodetectors.

Academic Publications

Device physics:

  1. B. Xiao, P. Calado, R. C. I. MacKenzie, T. Kirchartz, J. Yan*, and J. Nelson, Relationship between Fill Factor and Light Intensity in Solar Cells Based on Organic Disordered Semiconductors: The Role of Tail States, Phys. Rev. Appl. 14, 024034 (2020). https://doi.org/10.1103/PhysRevApplied.14.024034
  2. L. Zhu, M. Zhang, J. Xu, C. Li, J. Yan*, G. Zhou, W. Zhong, T. Hao, J. Song, X. Xue, Z. Zhou, R. Zeng, H. Zhu, C. Chen, R.C.I. MacKenzie, Y. Zou, J. Nelson, Y. Zhang, Y. Sun*, F. Liu*, Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology. Nature Materials, 21, 656–663 (2022) https://doi.org/10.1038/s41563-022-01244-y


Molecular Physics:

  1. M. Azzouzi#, J. Yan#, T. Kirchartz, K. Liu, J. Wang, H. Wu, and J. Nelson, Nonradiative Energy Losses in Bulk-Heterojunction Organic Photovoltaics, Phys. Rev. X 8, 031055 (2018). https://doi.org/10.1103/PhysRevX.8.031055
  2. J. Yan*, E. Rezasoltani, M. Azzouzi, F. Eisner, and J. Nelson*, Influence of static disorder of charge transfer state on voltage loss in organic photovoltaics, Nature Communications 12, 3642 (2021). https://doi.org/10.1038/s41467-021-23975-3


DFT and Machine learning:

  1. J. Yan, X. Rodríguez-Martínez*, D. Pearce, H. Douglas, D. Bili, M. Azzouzi, E. Rezasoltani, F. Eisner, A. Virbule, E. Rezasoltani, V. Belova, B. Dorling, S. Few, A. A. Szumska, X. Hou, G. Zhang, Hin-Lap Yip, M. Campoy-Quiles*, J. Nelson*. Identifying structure-absorption relationship and predicting absorption strength of nonfullerene acceptors in organic photovoltaics. Energy & Environ. Sci., 15, 2958-2973 (2022) https://doi.org/10.1039/D2EE00887D


Full publication list:

ORCID: http://orcid.org/0000-0001-9966-4357  

Web of Science: https://www.webofscience.com/wos/author/rid/AAD-2292-2021

Google Scholar: https://scholar.google.com/citations?user=bLyw5ygAAAAJ&hl=en