特任副研与博士后招聘 Researcher Employment
机器化学家演示视频 Demo of USTC AI-Chemist (2021Dec)
Welcome to Jun Jiang’s Research Group website. We are a small research group focusing on theoretical and computation chemistry, at the School of Chemistry and Materials Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China (USTC). Our study interests include
PUBLICATIONS: https://orcid.org/0000-0002-6116-5605
江俊博士1978年出生于中国湖南省,现为中国科学技术大学化学与材料科学学院教授(2011/12--),博士生导师。2000年获武汉大学物理系人才基地班理论物理学士学位,2007年获瑞典皇家工学院理论化学博士学位(导师罗毅教授),2008年获中国科学院上海技术物理研究所微电子与固体电子学博士学位(导师陆卫教授)。此后在瑞典皇家工学院(合作导师罗毅教授)与美国加州大学尔湾分校(合作导师Shaul Mukamel院士)从事博士后研究并于2010-2011年任助理研究员。担任两届中科大少年班学院班主任,指导学生获多项国际大奖。2011年入选中组部青年高层次人才并加入中国科学技术大学化学与材料科学学院,2013年获批国家科技部青年973项目负责人并于2018年获结题优秀,2020年获自然科学基金委杰出青年基金资助。
江俊博士主要从事理论化学研究,发展融合人工智能与大数据技术的量子化学方法,聚焦于复杂体系内电子运动模拟,研究在多个物理与化学应用领域(能源催化、功能材料、光化学、谱学)中的实际问题。在国际知名SCI期刊如Nat. Energy, Nat. commun., J. Am. Chem. Soc., Angew. Chem. Int. Ed., Phys. Rev. Lett., Adv. Mater. and Nano Lett等发表论文150余篇。在量子器件和新村料领域获专利10余项。主持开发6个计算软件包在国内外研究机构和产业应用,为企业创造产值近亿元。曾获2011年中科院优秀博士论文奖、2015年中国化学会唐敖庆青年理论化学家奖、2017年安徽省青年科技奖、2020年日本化学会亚洲杰出讲座奖(人工智能在理论化学中的应用)。
Dr. Jun Jiang was born in HuNan, China, in 1978. He received a B.S. degree in Theoretical Physics (Talent Base Class of Physics) in 2000 at WuHan University, China, a Ph.D. degree in Theoretical Chemistry under the tutelage of Prof. Yi Luo in 2007 at Royal Institute of Technology, Sweden, a Ph.D. degree in Solid State Physics under the tutelage of Prof. Wei Lu in 2008 at Shanghai Institute of Technical Physics, Chinese Academy of Science. From 2008 to 2011, he worked as Post-doc at Royal Institute of Technology, Sweden and University of California Irvine under the tutelage of Prof. Shaul Mukamel. He joined the University of Science and Technology of China in December, 2011 as a Professor working in Theoretical, Physical and Materials Chemistry.
Dr. Jiang’s research interests focus on the development and employment of multi-scale modeling methods and Machine learning techniques, for simulating Charge kinetics in complex system. He targets on a wide range of physics or chemistry applications such as Photocatalysis, Biochemistry, Photochemistry, Molecular electronics and photonics. He has published more than 50 papers in prestigious journals such as Nature Energy, J. Am. Chem. Soc., Angew. Chem. Int. Ed., Phys. Rev. Lett., Adv. Mater. Dr. Jiang is a recipient of the National Science Fund for Distinguished Young Scholars, China, and has won the “Young Theoretical Chemistry Investigator Award of Chinese Chemistry Society”, “Distinguished Lectureship Award of the Chemical Society of Japan”, and the chief scientist title of a prestigious national 973 project for young scientists and got the excellent award in 2018.
特任副研与博士后招聘 Researcher Employment
本课题组的研究聚焦于复杂体系内电子运动行为的理论模拟。通过研究解决多个物理与化学应用领域(光催化、生物化学、光化学、分子电子学与光子学)中的实际科学问题,结合量子化学与人工智能技术,发展和应用多尺度的基础理论方法,揭示功能分子、复合材料、生物系统等复杂体系的构效关系、微观机制和协同原理。
Dr. Jiang’s research interests focus on the development and employment of multi-scale modeling methods and Machine learning techniques, for simulating Charge kinetics in complex system. He targets on a wide range of physics or chemistry applications such as Photocatalysis, Biochemistry, Photochemistry, Molecular electronics and photonics.
现代物理与化学应用依赖于对电子动力学过程(空间、时间、能量信息)的观测和调控
Modern physics or chemistry applications rely on the detection and manipulation of charge kinetics: the space, time, energy information of excited electrons.
复杂体系电子运动的多尺度理论模拟揭示关键物理化学过程
First-principles based multi-scale modeling of charge kinetics reveals key physics and chemistry processes in complex system
结合人工智能从大量谱学数据中揭示结构、性质与谱学的内在联系
H.S. Yu, et. al., J. Jiang*, J. Phys. Chem. A 2020, 124, 3844 S. Sheng, et. al., S. Mukamel*, J. Jiang*, Proc. Natl. Acad. Sci. U.S.A. 2019, 116, 11612 W. Hu, et. al., J. Jiang*, J. Phys. Chem. Lett. 2019, 10, 6026
S. Sheng, et. al., J. Jiang*, J. Am. Chem. Soc. 2020, 142, 19071 S. Sheng, et. al., S. Mukamel*, J. Jiang*, Proc. Natl. Acad. Sci. U.S.A. 2019, 116, 11612 G.Z. Zhang, et. al., J. Jiang*, J. Phys. Chem. Lett. 2017, 8, 1031
X.J. Wang, et. al., J. Jiang*, J. Am. Chem. Soc. 2020, 142, 7737 W. Hu, et. al., J. Jiang*, J. Phys. Chem. Lett. 2019, 10, 6026 C. Jia, et. al., J. Jiang*, Appl. Mater. Interfaces 2019, 11, 9629
D.B. Liu, et. al. , J. Jiang*, L. Song*, Nat. Energy. 2019, 4, 512 S.B. Tang, et. al., J. Jiang*, J. Am. Chem. Soc. 2020, 142, 19308
L. Yang, et. al. J. Jiang*, Nat. Commun. 2017, 8 , 16049 Y. Chen, et. al. J. Jiang*, C.W. Zou*, Nat. Commun. 2018, 9 , 818 L.Y. Xie, et. al. J. Jiang*, J. Am. Chem. Soc. 2020, 142, 4136