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researcher

Sergio Davis

6 papers here

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

author position
  • sole author3
  • middle author2
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech4
  • cond-mat.mtrl-sci1
  • math.PR1
ORCID 0000-0003-2757-332X
same name
  • Sergio Davis — 2 papers, h 0
  • Sergio Davis — 1 paper, h 1

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
20142024
most citedStatistical distribution of thermal vacancies close to the melting point

7 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing cond-mat.stat-mechShow all

4 papers · 1 filter

cond-mat.stat-mech2024

Temperature and equipartition in discrete systems

Sergio Davis

The generalized equipartition theorem known as the conjugate variables theorem (Phys. Rev. E 86, 051136 [2012]), originally obtained in the context of statistical inference of cont…

cond-mat.stat-mech2023

Prediction and Retrodiction in Statistical Mechanics from the Principle of Maximum Caliber

Ignacio Tapia, Gonzalo Gutiérrez, Sergio Davis

A statistical, path-dependent framework to describe time-dependent macroscopic theories using the Principle of Maximum Caliber is presented. By means of this procedure, it is possi…

cond-mat.stat-mech2021

A novel Bayesian approach to the computation of the configurational density of states

Felipe Moreno, Sergio Davis, Joaquín Peralta

In this work we develop and implement a novel Bayesian method for computing the DOS of a system. This method is based on the use of a test function with adjustable parameters and w…

cond-mat.stat-mech2021

The q-canonical ensemble as a consequence of Bayesian superstatistics

Sergio Davis

Superstatistics is a generalization of equilibrium statistical mechanics that describes systems in nonequilibrium steady states. Among the possible superstatistical distributions,…

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