Thermodynamics, Gibbs Method and Statistical Physics of Electron Gases : Gibbs Method and Statistical Physics of Electron Gases

This book deals with theoretical thermodynamics and the statistical physics of electron and particle gases. While treating the laws of thermodynamics from both classical and quantum theoretical viewpoints, it posits that the basis of the statistical theory of macroscopic properties of a system is th...

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Opis bibliograficzny
Główni autorzy: Askerov, Bahram M., Figarova, Sophia R. (Autor)
Format: Livre numérique
Język:Anglais
Wydane: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer e-books [20..].
Cham : Springer Nature
Seria:Springer Series on Atomic, Optical, and Plasma Physics 57
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Komentarz: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Thermodynamics, Gibbs method and statistical physics of electron gases, Bahram M. Askerov, Sophia R. Figarova, Heidelberg, Springer, 2010, 1 vol. (XII-374 p.), Springer series on atomic, optical, and plasma physics, 978-3-642-03170-0
Opis
Streszczenie:This book deals with theoretical thermodynamics and the statistical physics of electron and particle gases. While treating the laws of thermodynamics from both classical and quantum theoretical viewpoints, it posits that the basis of the statistical theory of macroscopic properties of a system is the microcanonical distribution of isolated systems, from which all canonical distributions stem. To calculate the free energy, the Gibbs method is applied to ideal and non-ideal gases, and also to a crystalline solid. Considerable attention is paid to the Fermi-Dirac and Bose-Einstein quantum statistics and its application to different quantum gases, and electron gas in both metals and semiconductors is considered in a nonequilibrium state. A separate chapter treats the statistical theory of thermodynamic properties of an electron gas in a quantizing magnetic field
Deskrypcja:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642031717
ISSN:1615-5653
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