M
Michael E. Fisher
Researcher at University of Maryland, College Park
Publications - 464
Citations - 41043
Michael E. Fisher is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Ising model & Critical point (thermodynamics). The author has an hindex of 92, co-authored 440 publications receiving 38884 citations. Previous affiliations of Michael E. Fisher include University of Western Ontario & Rockefeller Institute of Government.
Papers
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Screening in ionic systems: simulations for the Lebowitz length.
TL;DR: Simulations of the Lebowitz length, xiL (T, rho), are reported for the restricted primitive model hard-core (diameter a) 1:1 electrolyte for densities rho approximately < 4rho(c) and T (c) approximately < T approximately < 40T(c).
Posted Content
Comment on a recent conjectured solution of the three-dimensional Ising model
TL;DR: Zhang et al. as mentioned in this paper disproved the conjecture and pointed out the flaws in the arguments leading to the conjectured expressions, and proposed a conjectured solution for various properties of the three-dimensional Ising model.
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Microcanonical density functionals for critical systems: An exact one-dimensional example
Lev V. Mikheev,Michael E. Fisher +1 more
TL;DR: In this article, a local canonical function is proposed for describing nonuniform systems near criticality, where both the usual order-parameter (or magnetization) density m(r) and the local energy density ǫ(r), which has independent critical fluctuations, are employed.
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Charge and density fluctuations in electrolytes: The Lebowitz and other correlation lengths
TL;DR: In this paper, Meeron's analysis supplemented by the HNC graphical resummation for the unrestricted primitive model (with distinct diameters, e.g., a ++, a +−, and a −− ) was employed to compute exact low-density expansions, with leading correction terms, for the zeroth, second, and fourth moment charge-charge and density-density correlation lengths.
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Under-estimates of reachable sets for linear control systems
TL;DR: In this article, a new algorithm is presented for providing under-estimates of the reachable set from the origin for a class of n-dimensional linear systems with bounded controls.