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M. Weigel

69 papers hereh-index 191.2k citations120 works total

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

author position
  • sole author6
  • first author17
  • middle author20
  • last author26

Across the 69 of 69 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech35
  • cond-mat.dis-nn18
  • physics.comp-ph11
  • physics.soc-ph2
  • cond-mat.soft1
  • hep-lat1
same name
  • M. Weigel — 17 papers, h 16
  • M. Weigel — 10 papers, h 3
  • M. Weigel — 3 papers, h 25
  • M. Weigel — 1 paper, h 4

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
19982023
most citedPerformance potential for simulating spin models on GPU

70 citations · 1.1k across the 69 of their papers we have counts for

collaborators
Showing 2000 · cond-mat.stat-mechShow all

3 papers · 2 filters

cond-mat.stat-mech2000★ 1 cited

Universal amplitude ratios in finite-size scaling: three-dimensional Ising model

Martin Weigel, Wolfhard Janke

Motivated by the results of two-dimensional conformal field theory (CFT) we investigate the finite-size scaling of the mass spectrum of an Ising model on three-dimensional lattices…

cond-mat.stat-mech2000★ 23 cited

Universal amplitude-exponent relation for the Ising model on sphere-like lattices

Martin Weigel, Wolfhard Janke

Conformal field theory predicts finite-size scaling amplitudes of correlation lengths universally related to critical exponents on sphere-like, semi-finite systems $S^{d-1}\times\m…

cond-mat.stat-mech2000★ 13 cited

Monte Carlo study of the scaling of universal correlation lengths in three-dimensional O(n) spin models

Martin Weigel, Wolfhard Janke

Using an elaborate set of simulational tools and statistically optimized methods of data analysis we investigate the scaling behavior of the correlation lengths of three-dimensiona…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.