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Free PDF Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando

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Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando

Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando


Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando


Free PDF Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando

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Introductory Applied Quantum and Statistical MechanicsBy Peter L. Hagelstein, Stephen D. Senturia, Terry P. Orlando

* An applied focus for electrical engineers and materials scientists.
* Theoretical results supported with real-world systems and applications.
* Includes worked examples and self-study questions.
* Solutions manual available.

  • Sales Rank: #1622044 in Books
  • Published on: 2004-03-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.37" h x 1.68" w x 6.40" l, 2.69 pounds
  • Binding: Hardcover
  • 785 pages

From the Back Cover

An Applied Approach to Quantum Mechanics

Quantum mechanics is vitally important in the study and design of semiconductor devices. The latest electronic and photonic devices have quantum mechanics at their core, and the emergence of quantum computing further increases the engineering importance of the subject. In contrast to the usual theoretical or experimental treatments of quantum physics, Introductory Applied Quantum and Statistical Mechanics approaches the subject from the point of view of an electrical engineer or materials scientist.

Equally useful as a reference for the practitioner and as a text, Introductory Applied Quantum and Statistical Mechanics introduces the reader to the fundamental concepts of quantum physics and their applications to electrical engineering, applied physics, and materials science. Developed from an introductory graduate course in the EECS Department at MIT, this book is structured with an eye towards how the laws enable one to design and build new and better devices. Throughout, theoretical results are supported with real-world systems and applications, and mastery of the material is assisted by worked examples and self-study questions.

A unique and useful resource, this book is a valuable tool for anyone seeking to apply the principles of quantum mechanics to the development of practical technical solutions.

About the Author
Peter L. Hagelstein  is an Associate Professor in the Department of Electrical Engineering and Computer Science at M.I.T. He  is a principal investigator in the Optics and Quantum Electronics Group of the Research Laboratory of Electronics.

Stephen D. Senturia joined the Department of Electrical Engineering and Computer Science at M.I.T. immediately after completing his education (MIT, Ph.D. in Physics, 1966), initially as Research Scientist, then as Assistant Professor in 1967, with subsequent promotions up the ranks. From 1992 to 2002, he held the Barton L. Weller Chair in Electrical Engineering. He has been involved in microsensor and MEMS research since the early 1970’s. For a number of years, his research focused on developing material-property measurement methods and CAD tools for MEMS. The work on MEMCAD led to the spin-out from his group of the two companies that lead this commercial field: IntelliSense and Coventor.He serves as Senior Editor of the ASME/IEEE Journal of Microelectromechanical Systems. After officially retiring from MIT in June, 2002, Dr. Senturia now has part-time duties at MIT and serves as Chairman and Chief Technology Officer of Polychromix, Inc., Woburn, MA, a company he founded to adapt the Polychromator technology for commercial use. Honor and professional societies include the IEEE (Fellow), Phi Beta Kappa, and Sigma Xi.

Terry P. Orlando is a Professor at the Research Laboratory of Electronics at M.I.T. His research focuses on superconducting circuits for quantum computation and nonlinear dynamics.

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