• 78 Citations
  • 5 h-Index
20082019
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Fingerprint Dive into the research topics where JOAQUIN ANDRES PERALTA CAMPOSANO is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Molecular dynamics Engineering & Materials Science
molecular dynamics Physics & Astronomy
Atoms Engineering & Materials Science
simulation Physics & Astronomy
evaporation Physics & Astronomy
atoms Physics & Astronomy
melting Physics & Astronomy
Vacancies Engineering & Materials Science

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Research Output 2008 2019

  • 78 Citations
  • 5 h-Index
  • 15 Article
  • 1 Conference contribution
  • 1 Conference article
1 Citation (Scopus)
Bayesian Modeling
Statistical Modeling
Melting
melting
simulation

Deterministic physical systems under uncertain initial conditions: The case of maximum entropy applied to projectile motion

Montecinos, A., Davis, S. & Peralta, J., 17 May 2018, In : European Journal of Physics. 39, 4, 045102.

Research output: Contribution to journalArticle

Modeling field evaporation degradation of metallic surfaces by first principles calculations: A case study for Al, Au, Ag, and Pd

Carrasco, T., Peralta, J., Loyola, C. & Broderick, S. R., 25 Jun 2018, In : Journal of Physics: Conference Series. 1043, 1, 012039.

Research output: Contribution to journalConference article

evaporation
degradation
electric fields
simulation
atoms
2 Citations (Scopus)

Ordered metastable states in the Potts model and their connection with the superheated solid state

Moreno, F., Davis, S., Loyola, C. & Peralta, J., 1 Nov 2018, In : Physica A: Statistical Mechanics and its Applications. 509, p. 361-368 8 p.

Research output: Contribution to journalArticle

Metastable States
Potts Model
Melting
metastable state
superheating

A method for density estimation based on expectation identities

Peralta, J., Loyola, C., Loguercio, H. & Davis, S., 9 Jun 2017, Bayesian Inference and Maximum Entropy Methods in Science and Engineering: Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016. American Institute of Physics Inc., Vol. 1853. 110001

Research output: Chapter in Book/Report/Conference proceedingConference contribution

linear systems
logarithms
theorems
sampling
expansion