Statistical Mechanics for Engineers

Author:   Isamu Kusaka
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2015
ISBN:  

9783319138091


Pages:   447
Publication Date:   30 September 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Statistical Mechanics for Engineers


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Overview

This book provides a gentle introduction to equilibrium statistical mechanics. The particular aim is to fill the needs of readers who wish to learn the subject without a solid background in classical and quantum mechanics. The approach is unique in that classical mechanical formulation takes center stage. The book will be of particular interest to advanced undergraduate and graduate students in engineering departments.

Full Product Details

Author:   Isamu Kusaka
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   8.218kg
ISBN:  

9783319138091


ISBN 10:   331913809
Pages:   447
Publication Date:   30 September 2015
Audience:   Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Classical Mechanics.- Thermodynamics.- Classical Statistical Mechanics.- Various Statistical Ensembles.- Simple Models of Adsorption.- Thermodynamics of Interface.- Statistical Mechanics of Inhomogeneous Fluids.- Quantum Formulation.- Vectors in 3-Dimensional Space.- Useful Formulae.- Legendre Transformation.- Dirac Function.- Where to Go from Here.- List of Greek Letters.- Hints to Selected Exercises.- Index.

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Author Information

Isamu Kusaka is an associate professor in the William G. Lowrie Department of Chemical and Bio molecular Engineering at the Ohio State University. His current research interests include transport phenomena in nano scale systems.

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