邓友金

职称
邮件
yjdeng@ustc.edu.cn
电话
地址
安徽合肥金寨路96号,中国科学技术大学,物质科学楼B1007-1室
个人简介

邓友金教授本科及硕士就读于北京师范大学,2004年于荷兰代尔夫特技术大学获得博士学位,师从H.W.J. Bloete教授。随后分别于美国纽约大学(合作导师A.D. Sokal教授)及德国海德堡大学(合作导师潘建伟教授)从事博士后研究。2009年起加盟中国科学技术大学近代物理系。2010年至2015年任UMass Amherst兼职助理教授,2016年至2019年任兼职教授 (adjunct professor)。
主要研究兴趣包括蒙特卡洛方法、相变及临界现象理论、和量子模拟理论。迄今(2021年),共发表学术论文140余篇,包括PRL、PRX、NSR、Nature及子刊、Science共计30余篇,还包括约90篇NPB及PR系列文章。研究获得973项目、基金委面上等的资助。

相关论文

  • Wang, Y., Fang, S., Xu, N. & Deng, Y. Two-Scale Scenario of Rigidity Percolation of Sticky Particles. Physical Review Letters 124, 255501 (2020).
  • Li, M., L¨, L., Deng, Y., Bin Hu, M. -, Wang, H., Medo, M. ´uˇs & Stanley, E. History-dependent percolation on multiplex networks. National Science Review 7, 1296 (2020).
  • Šimkovic, F., LeBlanc, J. P. F., Kim, A. J., Deng, Y., Prokof’ev, N. V., Svistunov, B. V. & Kozik, E. Extended Crossover from a Fermi Liquid to a Quasiantiferromagnet in the Half-Filled 2D Hubbard Model. Physical Review Letters 124, 017003 (2020) (2020).
  • Deng, Y., Garoni, T., Grimm, J., Nasrawi, A. & Zhou, Z. The length of self-avoiding walks on the complete graph. Journal of Statistical Mechanics: Theory and Experiment 2019, 103206 (2019).
  • Deng, Y., Ouyang, Y. & ote, H. Medium-range percolation in two dimensions. Journal of Physics: Conference Series 1163, 012001 (2019).
  • Xu, W., Sun, Y., Lv, J. -P. & Deng, Y. High-precision Monte Carlo study of several models in the three-dimensional U(1) universality class. Physical Review B 100, 064525 (2019).
  • ote, H. & Deng, Y. Revisiting the field-driven edge transition of the tricritical two-dimensional Blume-Capel model. Physical Review E 99, 062133 (2019).
  • Tan, X., Couvreur, R., Deng, Y. & Jacobsen, J. Observation of nonscalar and logarithmic correlations in two- and three-dimensional percolation. Physical Review E 99, 050103 (2019).
  • Hou, P., Fang, S., Wang, J., Hu, H. & Deng, Y. Geometric properties of the Fortuin-Kasteleyn representation of the Ising model. Physical Review E 99, 42150 (2019).
  • Michel, M., Tan, X. & Deng, Y. Clock Monte Carlo methods. Physical Review E 99, 010105 (2019).