In recent years, he has been the first or corresponding author of Nat. Commun., Angew.Chem.Int. Edit., Adv. Mater., Adv. Energy Mater. He has published 20 papers in other journals, including 3 ESI highly cited papers and 3 hot papers, and he has cited more than 1000 times. Research work has been undertaken by internationally renowned scholars including field founders in Nat.nanotech., Nat. Materials, J. Am. Chem. Soc., Chem. Soc. Rev., Chem. Rev. And other top international academic journals have cited many times, and related research has been selected as important achievements in Chinese optics in 2016. Applied for 3 invention patents and 2 authorized patents. He is the standing member of the Expert Committee of Electronic Information Materials and Devices of the National think tank of materials and Devices scientists. Selected into the 2017 Post-doctoral Innovative Talent Support Program; He presided over the Youth project of the National Natural Science Foundation of China and the cooperation and exchange project between Beijing Institute of Technology and the Foundation of Basic Research of Belarus.

New photoelectric/photovoltaic materials and devices

2008.09-2012.07 University of Electronic Science and Technology of China Bachelor of Engineering
2012.09-2017.07 Doctor of Science, Peking University

2017.07-2019.07 Postdoc, Lecturer, Beijing University of Posts and Telecommunications
07/2019.-Present Special Associate Researcher, Beijing Institute of Technology

[1] Enhanced Lifetime and Photostability with Low‐temperature Mesoporous ZnTiO3/Compact SnO2 Electrodes in Perovskite Solar Cells. Angewandte Chemie International Edition, 2019, 58, 51, 18460-18465. (IF: 15.336)
[2] SnO2-in-polymer Matrix for High-efficiency Perovskite Solar Cells with Improved Reproducibility and Stability. Advanced Materials, 2018, 30, 52, 1805153. (IF: 30.849, Cited: 90)
[3] Mechanisms and Suppression of Photoinduced Degradation in Perovskite Solar Cells. Advanced Energy Materials, 2020, 2002326. (IF: 29.368)
[4] A polymer scaffold for self-healing perovskite solar cells, Nature Communications, 2016.1, 7. (IF:14.919, Cited: 459)
[5] Machine learning in materials science. InfoMat, 2019, 1, 338-358. (IF: 25.405, Cited: 97)