Strongly Correlated Systems: Theoretical Methods (2012) (Springer Series in Solid-State Sciences #171)
By: and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- The volume presents, for the very first time, an exhaustive collection of those modern theoretical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern research in physics, chemistry and materials science, belong to this class of systems. Any technique is presented in great detail by its own inventor or by one of the world-wide recognized main contributors. The exposition has a clear pedagogical cut and fully reports on the most relevant case study where the specific technique showed to be very successful in describing and enlightening the puzzling physics of a particular strongly correlated system. The book is intended for advanced graduate students and post-docs in the field as textbook and/or main reference, but also for other researchers in the field who appreciates consulting a single, but comprehensive, source or wishes to get acquainted, in a as painless as possible way, with the working details of a specific technique.
- Copyright:
- 2012
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783642218316
- Related ISBNs:
- 9783642218309
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 08/02/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Earth Sciences, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Adolfo Avella
- Edited by:
- Ferdinando Mancini
Reviews
Other Books
- by Adolfo Avella
- by Ferdinando Mancini
- in Nonfiction
- in Science
- in Earth Sciences
- in Mathematics and Statistics