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A genetic algorithm for the 1D electron gas

Author

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  • Stoico, César O.
  • Renzi, Danilo G.
  • Vericat, Fernando

Abstract

We show how to apply a genetic algorithm to describe the homogeneous electron gas. For simplicity we consider just the 1D case. The pair correlation function so obtained is compared with those found by using variational Monte Carlo and quantum hypernetted chain calculations and reported for the first time in this paper.

Suggested Citation

  • Stoico, César O. & Renzi, Danilo G. & Vericat, Fernando, 2008. "A genetic algorithm for the 1D electron gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(1), pages 159-166.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:1:p:159-166
    DOI: 10.1016/j.physa.2007.07.075
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    Cited by:

    1. Shang, Ronghua & Bai, Jing & Jiao, Licheng & Jin, Chao, 2013. "Community detection based on modularity and an improved genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1215-1231.
    2. Mokshin, Anatolii V. & Khabibullin, Roman A., 2022. "Is there a one-to-one correspondence between interparticle interactions and physical properties of liquid?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

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