Dr. Jun YAN

Publications

Dr. Jun YAN
Title:

Assistant Professor

Education Background:
Ph.D. (South China University of Technology)

Visiting Ph.D (Imperial College London)

B.S. (South China University of Technology)
Office Address

RA414

Teaching Area

Solid State Physics; Semiconductor Physics; Optical, electronic, and magnetic proerties of materials

Other

Looking for motivated PhD students and postdocs to work on computational Physics in organic electronics, especially organic photovoltaics. Background in Physics or computational Physics is desirable. Or other relevant background (e.g. material science, electrical engineering, and optoelectronics) with sufficient experience or strong interest in computational physics are also a good fit. Programing experience is desirable.

Research

Renewable energy; Photovoltaics; Modelling; Organic Electronics

PublicationsInfo

Selected 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