杨龙，特聘研究员，博士生导师。
邮箱(Email)：long_yang@tongji.edu.cn
个人主页(Website)：https://www.yanglonggroup.com
地址：上海市曹安公路4800号同济大学嘉定校区材料学院（德才馆）404室
邮编：201804
Office ：Room 404, Decai Building, Tongji University, 4800 Caoan Road, Shanghai 201804
个人简介：
特聘研究员、博士生导师，主持国家自然科学基金青年科学基金B类（原优青）等项目。本科毕业于复旦大学，硕士和博士毕业于美国哥伦比亚大学应用物理与应用数学系材料科学与工程专业，师从于Simon Billinge教授。随后在加州大学洛杉矶分校Jianwei Miao教授课题组从事博士后研究工作。2022年加入同济大学材料科学与工程学院，主要从事晶态、非晶态、纳米态等新型材料结构表征，发展基于同步辐射X射线、中子、电子等大科学装置实验的原子对分布函数(atomic pair distribution function, PDF)、原子级电子层析成像(atomic electron tomography, AET)等局域结构表征方法，以及发展结合AI智能体的新型AI4Materials算法。相关合作研究成果发表于Nature, Journal of the American Chemical Society, National Science Review, Nature Communications, Advanced Functional Materials等国际学术期刊。现任中国晶体学会理事、固体局域结构与全散射技术专委会首届委员，并担任国内外大科学装置用户课题评审专家。
研究方向：
1. 基于同步辐射X射线、中子、电子高能衍射实验，发展原子尺度局域结构表征方法。
2. 热电、储能、纳米等新能源材料的构效关系研究。
3. 发展AI与材料科学结合的AI4Materials新型算法。
招生招聘信息：
1. 欢迎对物理、材料、大数据科学等领域感兴趣的学生报考硕士和博士研究生。
2. 长期招聘具有材料物理等相关背景的有志青年（博士后、助理研究员、科研助理等）加盟开展研究工作，待遇优厚。
3. 与世界顶尖高校及国家实验室有长期合作关系，常年有学生出差交流及开展实验活动。
Bio:
Dr. Long Yang is a tenure-track Professor and Ph.D. supervisor in the School of Materials Science and Engineering at Tongji University. He leads research projects including the Young Scientists Fund (Type B) of the National Natural Science Foundation of China (NSFC), formerly known as the Excellent Young Scientists Fund. He received his B.S. from Fudan University and earned his M.S. and Ph.D. degrees in Materials Science and Engineering from the Department of Applied Physics and Applied Mathematics at Columbia University under the supervision of Prof. Simon Billinge. He then worked as a postdoctoral researcher in the group of Prof. Jianwei Miao at UCLA.
In 2022, he joined the School of Materials Science and Engineering at Tongji University. His research focuses on the structural characterization of emerging crystalline, non-crystalline, and nanostructured materials. He is actively developing local structure characterization techniques based on synchrotron x-ray, neutron, and electron sources at large-scale scientific facilities, including atomic pair distribution function (PDF) and atomic electron tomography (AET) methods, as well as advanced algorithms incorporating artificial intelligence and AI agents. His collaborative research has been published in leading international journals, including Nature, Journal of the American Chemical Society, National Science Review, Nature Communications, and Advanced Functional Materials.
He currently serves as a Council Member of the Chinese Crystallographic Society and a Committee Member of the Solid-State Local Structure and Total Scattering Techniques. He is also a proposal review expert for large-scale scientific facilities in China and abroad.
Research Interests:
1. Develop atomic local structure characterization techniques based on high-energy synchrotron x-ray, neutron, and electron diffraction experiments.
2. Perform structure-property relationship studies on new energy materials in the fields of thermoelectric, energy-storage, and nanoscale functional materials.
3. Develop artificial intelligence and materials science related AI4Materials advanced algorithm.
Position Availability:
1. There are openings for masters and doctoral students who are interested in physics, materials science, and data science.
2. There are openings for scientific researchers with background in physics and materials science (postdocs, assistant researchers, and research assistants) with high compensation.
3. Group members will frequently travel to and carry out experiments using the state-of-the-art scientific facilities at national laboratories and universities over the world.
代表性论文 (Selected Papers)：
1.Te Kang, Changyuan Li, Xinjue Zhang, Yuiga Nakamura, Jo-chi Tseng, Taishun Manjo, Chaofeng Liu, and Long Yang*. Local symmetry breaking induced superionic conductivity in argyrodites. J. Am. Chem. Soc., 148(6):6158–6166 (期刊封面), 2026. doi:10.1021/jacs.5c17193.
2.Changyuan Li, Di Zhang, Xiaoyu Zhang, Hongyao Zhang, Jiang Cheng, Zhiwei Chen, He Lin, Xiang Meng*, Wen Li*, and Long Yang*. Nanoscale local symmetry optimization induced low lattice thermal conductivity in I-V-VI2 compounds. Adv. Funct. Mater., 36(41):e74755, 2026. doi:10.1002/adfm.74755.
3.Yueyue Cheng, Long Yang*, Zhiwei Chen, Wen Li*, Jun Luo, and Yanzhong Pei. Determining elastic and acoustic properties of solids from total scattering. Newton, 2:100674, 2026. doi:10.1016/j.newton.2026.100674.
4.Yuhao Jin, Hao Fang, Haoyu Pan, Zhenyi Zhang, Chaofeng Liu, Long Yang*, Zheng Zhou*, and Haixiang Han*. Single-atom migration into a chiral multilayer nanocluster architecture. J. Am. Chem. Soc., 2026. doi:10.1021/jacs.6c03831.
5.Huanhuan Niu, Heng Liu, Wei-Hsiang Huang, Ting Shen, Menghao Yang, Min-Hsin Yeh, Long Yang*, and Chaofeng Liu*. Enhanced Working Voltage in Hydrated Vanadate Cathodes: Insights into [VO6] Octahedral Distortion and V 3d Orbital Splitting. Adv. Funct. Mater., 36(11):e18785, 2025. doi:10.1002/adfm.202518785.
6.Shasha Guo, Mohamed Ait Tamerd*, Changyuan Li, Xinyue Shi, Menghao Yang, Jingrong Hou, Jie Liu, Mingxue Tang, Shu-Chih Haw, Chien-Te Chen, Ting-Shan Chan, Chang-Yang Kuo, Zhiwei Hu, Long Yang*, and Jiwei Ma*. Activating Sodium Intercalation in Cation-Deficient Fe3O4 Through Mo Substitution. Small, 21(18):2408212, March 2025. doi:10.1002/smll.202408212.
7.Saman Moniri, Yao Yang, Jun Ding, Yakun Yuan, Jihan Zhou, Long Yang, Fan Zhu, Yuxuan Liao, Yonggang Yao, Liangbing Hu, Peter Ercius, and Jianwei Miao. Three-dimensional atomic structure and local chemical order of medium- and high-entropy nanoalloys, Nature, 624(7992):564–569, 2023. doi: 10.1038/s41586-023-06785-z.
8.Long Yang, Elizabeth A. Culbertson, Nancy K. Thomas, Hung T. Vuong, Emil T. S. Kjær, Kirsten M. Ø Jensen, Matthew G. Tucker, and Simon J. L. Billinge. A cloud platform for atomic pair distribution function analysis: PDFitc. Acta Crystallogr. Sect. Found. Adv., 77(1):2–6, 2021. doi:10.1107/S2053273320013066.
