Strongly correlated systems : numerical methods

This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern rese...

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Altres autors: Avella, Adolfo (Director editorial), Mancini, Ferdinando, 19..- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Col·lecció:Springer Series in Solid-State Sciences 176
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Edition sous un autre format:• Strongly correlated systems, numerical methods, with 106 figures, Adolfo Avella, Ferdinando Mancini, editors, Heidelberg, Springer, 2013, 1 vol. (xxviii-325 p.), Springer series in solid-state sciences, 3-642-35105-0
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Sumari:This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern research in physics, chemistry and material science, belong to this class of systems. Any technique is presented in great detail by its own inventor or by one of the world-wide recognized main contributors. The exposition has a clear pedagogical cut and fully reports on the most relevant case study where the specific technique showed to be very successful in describing and enlightening the puzzling physics of a particular strongly correlated system. The book is intended for advanced graduate students and post-docs in the field as textbook and/or main reference, but also for other researchers in the field who appreciate consulting a single, but comprehensive, source or wishes to get acquainted, in a as painless as possible way, with the working details of a specific technique
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642351068
ISSN:2197-4179
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