IFLYSIB 05383
INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
artículos
Título:
Genetic Algorithm for the Pair Distribution Function of the Electron Gas
Autor/es:
VERICAT, FERNANDO; STOICO, CÉSAR OMAR; CARLEVARO, CARLOS MANUEL; RENZI, DANILO GERMÁN
Revista:
Interdisciplinary Sciences: Computational Life Sciences
Editorial:
Springer
Referencias:
Lugar: Berlin; Año: 2011 vol. 3 p. 283 - 289
ISSN:
1913-2751
Resumen:
The pair distribution function of the electron gas is calculated using a parameterized generalization of hypernetted chain approximation with the parameters being obtained by optimizing the system energy with a genetic algorithm. The functions so obtained are compared with Monte Carlo simulations performed by other authors in its variational and di_usion versions showing a very good agreement especially with the di_usion Monte Carlo results.
