Statistical physics for Electrical Engineering /
By: Merhav, Neri
Material type:![](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 530.15 ME ST (Browse shelf) | Available | May2019 | T0062428 |
, Shelving location: Main Collection Close shelf browser
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530.141 HA EN Engineering electromagnetics | 530.141 IN EN Engineering electromagnetics and waves | 530.143 RO RE Reality is not what it seems : | 530.15 ME ST Statistical physics for Electrical Engineering / | 530.44 DR HI High-energy-density physics : | 530.8 BE PR Principles of measurement systems | 530.8 LE ST A student's guide to dimensional analysis |
Preface
Introduction
Kinetic Theory and the Maxwell Distribution
Elementary Statistical Physics
Quantum Statistics
the Fermi-Dirac Distribution
the Bose-Einstein Distribution
Interacting Particle Systems and Phase Transitions
Vibrations in a Solid
Phonons and Heat Capacity
Fluctuations, Stochastic Dynamics and Noise
A Brief Touch on Information Theory.
The main body of this book is devoted to statistical physics, whereas much less emphasis is given to thermodynamics. In particular, the idea is to present the most important outcomes of thermodynamics - most notably, the laws of thermodynamics - as conclusions from derivations in statistical physics. Special emphasis is on subjects that are vital to engineering education. These include, first of all, quantum statistics, like the Fermi-Dirac distribution, as well as diffusion processes, both of which are fundamental to a sound understanding of semiconductor devices. Another important issue for electrical engineering students is understanding of the mechanisms of noise generation and stochastic dynamics in physical systems, most notably in electric circuitry. Accordingly, the fluctuation-dissipation theorem of statistical mechanics, which is the theoretical basis for understanding thermal noise processes in systems, is presented from a signals-and-systems point of view, in a way that is readily accessible for engineering students and in relation with other courses in the electrical engineering curriculum, like courses on random processes.