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Richard S. Ellis

4 papers hereh-index 18 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech2
  • math-ph1
  • math.PR1
same name
  • Richard S. Ellis — 21 papers, h 4
  • Richard S. Ellis — 21 papers, h 7
  • Richard S. Ellis — 15 papers
  • Richard S. Ellis — 13 papers, h 9
  • Richard S. Ellis — 2 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20002014
most citedMetastability within the generalized canonical ensemble

10 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

math.PR2014★ 1 cited

Detailed Large Deviation Analysis of a Droplet Model Having a Poisson Equilibrium Distribution

Richard S. Ellis, Shlomo Ta'asan

One of the main contributions of this paper is to illustrate how large deviation theory can be used to determine the equilibrium distribution of a basic droplet model that underlie…

cond-mat.stat-mech2006

Global optimization, the Gaussian ensemble, and universal ensemble equivalence

M. Costeniuc, R. S. Ellis, H. Touchette +1

Shortened abstract: Given a constrained minimization problem, under what conditions does there exist a related, unconstrained problem having the same minimum points? This basic que…

cond-mat.stat-mech2005★ 10 cited

Metastability within the generalized canonical ensemble

H. Touchette, M. Costeniuc, R. S. Ellis +1

We discuss a property of our recently introduced generalized canonical ensemble (J. Stat. Phys. 119 (2005) 1283). We show that this ensemble can be used to transform metastable or…

math-ph2000★ 4 cited

The Large Deviation Principle for Coarse-Grained Processes

R. S. Ellis, K. Haven, B. Turkington

The large deviation principle is proved for a class of L2-valued processes that arise from the coarse-graining of a random field. Coarse-grained processes of this kind form the…

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