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）330室

邮编：201804

Office ：Room 3330, Decai Building, Tongji University, 4800 Caoan Road, Shanghai 201804

个人简介：

特聘研究员、博士生导师。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，并研究其构效关系。发展基于同步辐射X射线、中子、电子等高能衍射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，以及发展结合机器学习、数据挖掘等领域的新型建模算法。相关合作研究成果发表于Nature, Nature Communications, Advanced Materials等顶尖国际学术期刊，参与编写英文专著1部，由Elsevier出版。

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学。

2. 热电、储能、纳米等新型功能材料的构效关系研究。

3. 发展结合机器学习、深度学习、数据挖掘与材料科学结合的新型算法。

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 or in the School of Materials Science and Engineering at Tongji University. He received his B.S. from Fudan University. He earned his M.S. and Ph.D. degrees in Materials Science and Engineering from Columbia University under the supervision of Prof. Simon Billinge. Then he 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 interests include the local structure characterization of crystalline, non-crystalline, and nanostructured materials, as well as studying their structure-property relationships. He is actively developing the local structure modeling techniques aiming for atomic resolution using modern synchrotron x-ray, neutron, and electron sources, such as atomic pair distribution function (PDF) and atomic electron tomography (AET) methods, and developing advanced modeling algorithms with machine learning and data mining. His papers have been published in journals including Nature, Nature Communications, and Advanced Materials, and he wrote some chapters of a book published by Elsevier.

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 advanced materials in the fields of thermoelectric, energy-storage, and nanoscale functional materials.

3. Improve advanced structure modeling methods using machine learning and data mining algorithms.

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.      S. Moniri, Y. Yang, J. Ding, Y. Yuan, J. Zhou, L. Yang, F. Zhu, Y. Liao, Y. Yao, L. Hu, P. Ercius, and J. Miao. Three-dimensional atomic positions and local chemical order of medium- and high-entropy alloys, Nature, 2023 (Accepted).

2.      T. Jin*, L. Yang*, X. Zhang, W. Li, and Y. Pei. Close-packed layer spacing as a practical guideline for structure symmetry manipulation of IV-VI / I-V-VI₂ thermoelectrics, InfoMat, 2023 (Co-first Author, Accepted, IF=24.8).

3.      B. Liu, Y. Shang, M. Yao, Z. Liu, R. Fu, L. Yan, L. Yang, Z. Zhang, J. Dong, C. Zhai, X. Hou, L. Fei, G. Zhang, J. Ji, J. Zhu, H. Lin, and B. Sundqvist. Enhancement of Short/Medium-Range Order and Thermal Conductivity in Ultrahard sp3 Amorphous Carbon by C70 precursor, Nature Communications, 2023 (Accepted).

4.      Q. Tao, C. Xing, S. Lee, L. Yang, Q. Zeng, S. Li, T. Zhang, G. Lv, H. He, and S. Komarneni. Local structure determination of Zn-smectite, American Mineralogist, 2023, 108(7).

5.      S.J.L. Billinge, S.H. Skjærvø, M.W. Terban, S. Tao, L. Yang, Y. Rakita, and B.A. Frandsen, Local structure determination using total scattering data. In Reference Module in Chemistry, Molecular Sciences and Chemical Engineering. Elsevier, 2023.

6.      Z. Thatcher, C.-H. Liu, L. Yang, B.C. McBride, G.T. Tran, A. Wustrow, M.A. Karlsen, J.R. Neilson, D.B. Ravnsbæk, and S.J.L. Billinge, nmfMapping: a cloud-based web application for non-negative matrix factorization of powder diffraction and pair distribution function datasets. Acta Crystallographica Section A: Foundations and Advances, 2022, 78(3).

7.      L. Yang, E.Z. Culbertson, N.K. Thomas, H.T. Vuong, E.T.S. Kjaer, J.M.Ø. Jensen, M.G. Tucker, and S.J.L. Billinge, A cloud platform for atomic pair distribution function analysis: PDFitc. Acta Crystallographica Section A: Foundations and Advances, 2021, 77(1).

8.      L. Yang, R.J. Koch, H. Zheng, J.F. Mitchell, W. Yin, M.G. Tucker, S.J.L. Billinge, and E. S. Bozin, Two-orbital degeneracy lifted local precursor to a metal-insulator transition in MgTi₂O₄. Physical Review B, 2020, 102(23).

9.      L. Yang, P. Juhás, M.W. Terban, M.G. Tucker, and S.J.L. Billinge, Structure-mining: screening structure models by automated fitting to the atomic PDF over large numbers of models. Acta Crystallographica Section A: Foundations and Advances, 2020, 76(3).

10.   W. Cao, L. Yang, S. Auffret, and W.E. Bailey, Nearly isotropic spin-pumping related Gilbert damping in Pt/Ni₈₁Fe₁₉/Pt. Physical Review B, 2019, 99(9).

11.   J. Lombardi, L. Yang, F.A. Pearsall, N. Farahmand, Z. Gai, S.J.L. Billinge, and S. O’Brien, Stoichiometric control over ferroic behavior in Ba(Ti_1–xFe_x)O₃ nanocrystals. Chemistry of Materials, 2019, 31(4).

12.   X. Xiao, H. Wang, W. Bao, P. Urbankowski, L. Yang, Y. Yang, K. Maleski, L. Cui, S.J.L. Billinge, G. Wang, Y. Gogotsi, Two-dimensional arrays of transition metal nitride nanocrystals. Advanced Materials. 2019, 31(33).

13.   P. Urbankowski, B. Anasori, K. Hantanasirisakul, L. Yang, L. Zhang, B. Haines, S.J. May, S.J.L. Billinge, Y. Gogotsi, 2D molybdenum and vanadium nitrides synthesized by ammoniation of 2D transition metal carbides (MXenes). Nanoscale, 2017, 9(45).