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M. Ruf

11 papers hereh-index 12376 citations49 works total

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

author position
  • sole author1
  • first author2
  • middle author2
  • last author6

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • math.AP7
  • math-ph4
same name
  • M. Ruf — 8 papers
  • M. Ruf — 7 papers
  • M. Ruf — 1 paper, h 18
  • M. Ruf — 1 paper

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
20152022
most citedThe N-clock model: Variational analysis for fast and slow divergence rates of N

3 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing math-phShow all

4 papers · 1 filter

math-ph2020★ 3 cited

The N-clock model: Variational analysis for fast and slow divergence rates of N

Marco Cicalese, Gianluca Orlando, Matthias Ruf

We study a nearest neighbors ferromagnetic spin system on the square lattice in which the spin field is constrained to take values in a discretization of the unit circle consisting…

math-ph2020

Coarse graining and large-N behavior of the d-dimensional N-clock model

Marco Cicalese, Gianluca Orlando, Matthias Ruf

We study the asymptotic behavior of the N-clock model, a nearest neighbors ferromagnetic spin model on the d-dimensional cubic ε-lattice in which the spin field is…

math-ph2018

From statistical polymer physics to nonlinear elasticity

Marco Cicalese, Antoine Gloria, Matthias Ruf

A polymer-chain network is a collection of interconnected polymer-chains, made themselves of the repetition of a single pattern called a monomer. Our first main result establishes…

math-ph2015

Chirality transitions in frustrated S2-valued spin systems

Marco Cicalese, Matthias Ruf, Francesco Solombrino

We study the discrete-to-continuum limit of the helical XY S2-spin system on the lattice Z2. We scale the interaction parameters in order to reduce the model to…

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