General Information
Xiaojun Wu, Dr.
Professor in Computational Materials Sciences
Department of Materials Sciences and Engineering, School of Chemistry and Materials Sciences
CAS Key Lab of Energy Coversion materials
CAS Center for Excellence in Nanoscience
Hefei National Research Center for Physcial Sciences at the Microscale
Collabroative Innovation Center of Chemistry for Energy Materials (i-chem)
University of Science and Technology of China
Education
Ph.D. in Phys Chem, University of Science and Technology of China (2005) [advisor: Prof. Jinlong Yang]
B.Sc. in Phys Chem, University of Science and Technology of China (2000)
Woring Experience
Professor, Department of Materials Sciences and Engineering, USTC (2010 ~ present)
Postdoctoral Training, University of Nebraska-Lincoln (2005 ~ 2010). [mentor: Prof. Xiao Chen Zeng]
National Awards & Hornors
Tang Aoqing Youth Award in Theoretical Chemistry, Chinese Chemical Society (2017)
Young Scholars of Changjiang Scholar Award Program, Ministry of Education (2018)
First Prize of Teaching Achievement Award (Postgraduate), Anhui Province (2022)
Second Prize of Teaching Achievement Award (Postgraduate), Anhui Province (2022)
National Outstanding Youth Science Foundation (2022)
University Awards
Young Faculty Career Award by USTC Alumni Foundation (2013)
Yang Ya Foundation Education Award, University of Science and Technology of China (2017)
Societe Generale Education Award, University of Science and Technology of China (2019)
Ping Fan Foundation Education Award, University of Science and Technology of China (2022)
Research
This is a group of computaional chemistry and materials at USTC. Our current research interests include development of materials design method, the design and computational simulation of spintronics materials, (photo)catalytic materials for energy, and other low-dimensional funtional materials.
360+ paper in prestigious journals, including Science, Nature Phys., Nature Chem., PNAS, Nature Comm., J Am Chem Soc, Adv Mater, Nano Lett, Angew Chem Int Ed, ACS Nano. As of July 2024, the paper have been cited more than 29000 times ( H-index 98 ). ( Web of Science ID: F-1610-2010 ; or Scopus : 55598069500)