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Titlebook: Dynamical Mean-Field Theory for Strongly Correlated Materials; Volodymyr Turkowski Book 2021 Springer Nature Switzerland AG 2021 Dynamical

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https://doi.org/10.1007/978-3-0348-5592-1slabs sandwiched between substrates, films, and nanosystems. For each of these different types of systems, we give details of the DMFT algorithm and present results obtained by different groups in the last decade, the period of existence of this new fascinating field. We demonstrate that the correla
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Übersicht über das System der OrganismenMFT) approach to study properties of strongly correlated materials. We begin with a summary of basic properties of density functional theory, a powerful ab initio tool that, however, basically misses the effects of strong electron–electron correlations. We continue with a description of the combined
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G. Czihak (Lehrkanzel),H. Langer,H. Zieglerry important since they will allow to study strongly correlated materials with very powerful ab initio tool and solve the problems not accessible to DMFT so far. Namely, we discuss two main approaches used for this purpose—calculations of the XC potential from the XC energy obtained with DMFT that g
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https://doi.org/10.1007/978-3-030-64904-3Dynamical Mean-Field Theory; Strongly correlated materials; Mott insulators; Insulator breakdown; Many-b
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978-3-030-64906-7Springer Nature Switzerland AG 2021
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Dynamical Mean-Field Theory for Strongly Correlated Materials,amely, we begin with the first experimental results and early theoretical models proposed to explain the unusual properties of these materials. Next, we proceed with early solutions of the Hubbard model, the fundamental model for strongly correlated materials. We complete this chapter with a summary
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