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Erik Bates. Home Page. I am an assistant professor in the Department of Mathematics at North Carolina State University. Previously, I was a postdoc at the University of Wisconsin–Madison and the University of California, Berkeley. I completed my Ph.D. at Stanford University in 2019. Email: ebates *at* ncsu *dot* edu. Office: SAS 3140.
- Research
Erik Bates - Research. Research. I am broadly interested in...
- Research
Erik Bates - Research. Research. I am broadly interested in probability, particularly its intersections with statistical mechanics, mathematical physics, analysis, and combinatorics. Publications (arXiv versions are kept up to date & occasionally contain more technical details) Possible typo or error?
E Bates, L Sloman, Y Sohn. Journal of Statistical Physics 174, 333-350. , 2019. 19. 2019. Crisanti–Sommers formula and simultaneous symmetry breaking in multi-species spherical spin glasses. E Bates, Y Sohn. Communications in Mathematical Physics 394 (3), 1101-1152. , 2022.
Erik BATES, Postdoctoral Fellow | Cited by 228 | of University of California, Berkeley, CA (UCB) | Read 23 publications | Contact Erik BATES.
(919) 515–7817. ebates@ncsu.edu. https://www.ewbates.com/ Education. Ph.D. Mathematics Stanford University 2019. Area (s) of Expertise. Probability, mathematical physics, disordered systems, random growth models, spin glasses. Groups. Faculty. Research Groups: Ordinary Differential Equations, Partial Differential Equations and Analysis.
By Erik Bates∗ and Sourav Chatterjee† Stanford University Probabilistic models of directed polymers in random environ-ment have received considerable attention in recent years. Much of this attention has focused on integrable models. In this paper, we introduce some new computational tools that do not require inte-grability.
10 de nov. de 2021 · Erik Bates, University of Wisconsin-Madison, Making sense of disordered systems: what if Euclid, Newton, and Maxwell did probability? November 10, 2021 | 4:15 pm - 5:15 pm EST. Disordered systems are mathematical models (typically of the physical world) that are governed by random variables.
