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Exploring the structural complexity of intermetallic compounds by an adaptive genetic algorithm.
Zhao, X; Nguyen, M C; Zhang, W Y; Wang, C Z; Kramer, M J; Sellmyer, D J; Li, X Z; Zhang, F; Ke, L Q; Antropov, V P; Ho, K M.
Afiliación
  • Zhao X; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA and Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA.
  • Nguyen MC; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA and Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA.
  • Zhang WY; Nebraska Center for Materials and Nanoscience and Department of Physics and Astronomy, University of Nebraska, Lincoln, Nebraska 68588, USA.
  • Wang CZ; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA and Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA.
  • Kramer MJ; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA and Department of Materials Science and Engineering, Iowa State University, Ames, Iowa 50011, USA.
  • Sellmyer DJ; Nebraska Center for Materials and Nanoscience and Department of Physics and Astronomy, University of Nebraska, Lincoln, Nebraska 68588, USA.
  • Li XZ; Nebraska Center for Materials and Nanoscience and Department of Physics and Astronomy, University of Nebraska, Lincoln, Nebraska 68588, USA.
  • Zhang F; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA.
  • Ke LQ; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA.
  • Antropov VP; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA.
  • Ho KM; Ames Laboratory-US Department of Energy, Ames, Iowa 50011, USA and Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA.
Phys Rev Lett ; 112(4): 045502, 2014 Jan 31.
Article en En | MEDLINE | ID: mdl-24580466
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Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev Lett Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos
Buscar en Google
Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev Lett Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos