Evaluation of the genetic algorithm performance for the optimization of the grand potential in the cluster variation method-Reference-Cited by-同舟云学术

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Evaluation of the genetic algorithm performance for the optimization of the grand potential in the cluster variation method

Published:2018-06 Issue: Volume:61 Page:157-164
ISSN:0364-5916
Container-title:Calphad
language:en
Short-container-title:Calphad

Author:

Tamerabet Y.,Adjadj F.,Bentrcia T.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering,General Chemistry

Reference54 articles.

1. Computer-generated phase diagrams;Spencer;Int. J. Mater. Eng. Appl.,1979

2. Strategies for the calculation of phase diagrams;Lukas;Calphad,1982

3. Phase Diagrams Understanding the Basics;Campbell,2012

4. Cluster variation method for lattice models;Ŝurda;Z. für Phys. B Condens. Matter,1982

5. The cluster variation method and some applications;Finel,1994

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1. A data-driven approach to approximate the correlation functions in cluster variation method;Modelling and Simulation in Materials Science and Engineering;2021-12-13

2. MapReduce FCM clustering set algorithm;Cluster Computing;2020-05-22

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