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个人简介
His work ranges from mathematical physics, to developing computational methods for the many-body problem, to working on “ab initio” calculations in real materials. He has been awarded the Kusaka Memorial Prize in Physics from Princeton University (1985), the Oak Ridge Associated Universities, Junior Faculty Enhancement Award (1995), the Office of Naval Research Young Investigator Program award (1996), the Georgetown University Distinguished Achievement in Research award (2007), and the Alpha Sigma Nu National Book Award for the Natural Sciences (2009). He has been a Fellow of the American Physical Society from the Division of Condensed Matter Physics since 2006.
Professor Freericks has worked in a wide variety of different areas in condensed matter and cold atomic physics. He has been working in dynamical mean-field theory since 1992 and has been involved in solving the Falicov-Kimball model, Hubbard model, periodic Anderson model, and the Holstein model. Dynamical mean-field theory is a relatively new theoretical and computational method that allows one to solve the many-body problem; it becomes exact in the limit of large spatial dimensions. His computational work has focused on exact solutions, quantum Monte Carlo methods, and the numerical renormalization group. Many of these computational projects are carried out on large national supercomputers, and run on thousands of processors. Recently he has focused on inhomogeneous systems (multilayers, cold atoms in a trap) and on nonequilibrium effects, showing how to generalize dynamical mean-field theory for nonequilibrium situations. Currently, his group is funded by the National Science Foundation, the Defense Advanced Research Projects Agency, the Army Research Office, the Air Force Office of Scientific Research (under a MURI), and the Department of Energy.
Professor Freericks has worked in a wide variety of different areas in condensed matter and cold atomic physics. He has been working in dynamical mean-field theory since 1992 and has been involved in solving the Falicov-Kimball model, Hubbard model, periodic Anderson model, and the Holstein model. Dynamical mean-field theory is a relatively new theoretical and computational method that allows one to solve the many-body problem; it becomes exact in the limit of large spatial dimensions. His computational work has focused on exact solutions, quantum Monte Carlo methods, and the numerical renormalization group. Many of these computational projects are carried out on large national supercomputers, and run on thousands of processors. Recently he has focused on inhomogeneous systems (multilayers, cold atoms in a trap) and on nonequilibrium effects, showing how to generalize dynamical mean-field theory for nonequilibrium situations. Currently, his group is funded by the National Science Foundation, the Defense Advanced Research Projects Agency, the Army Research Office, the Air Force Office of Scientific Research (under a MURI), and the Department of Energy.
研究兴趣
论文共 450 篇作者统计合作学者相似作者
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npj Quantum Informationno. 1 (2025): 1-7
AMERICAN JOURNAL OF PHYSICSno. 1 (2025): 14-20
arxiv(2025)
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Tika R. Kafle, Yingchao Zhang,Yi-yan Wang,Xun Shi,Na Li, Richa Sapkota, Jeremy Thurston,Wenjing You, Shunye Gao,Qingxin Dong,Kai Rossnagel,Gen-Fu Chen,James Freericks,Henry C. Kapteyn,Margaret M. Murnane
STRUCTURAL DYNAMICS-USno. 1 (2025)
PHYSICAL REVIEW Xno. 3 (2024)
SYMMETRY-BASELno. 3 (2024)
PHYSICAL REVIEW LETTERSno. 10 (2024)
American Journal of Physicsno. 4 (2024): 270-279
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作者统计
#Papers: 450
#Citation: 13459
H-Index: 49
G-Index: 98
Sociability: 6
Diversity: 3
Activity: 37
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