logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Statistical Mechanics: Theory and Molecular Simulation by Mark E. Tuckerman ISBN 9780198525264, 0198525265

  • SKU: EBN-1380994
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.7

8 reviews
Instant download (eBook) Statistical Mechanics: Theory and Molecular Simulation after payment.
Authors:Mark E. Tuckerman
Pages:713 pages.
Year:2010
Editon:1
Publisher:Oxford University Press, USA; Oxford University Press
Language:english
File Size:9.6 MB
Format:pdf
ISBNS:9780198525264, 0198525265
Categories: Ebooks

Product desciption

(Ebook) Statistical Mechanics: Theory and Molecular Simulation by Mark E. Tuckerman ISBN 9780198525264, 0198525265

Main subject categories: • Statistical mechanics • Molecular simulation • Mathematic physics • Statistical methods • Quantum mechanics • Molecular physics • Applied mathematics

This is an excellent book for Stat Mech students. My current Stat Mech professor recommended it to us in the middle of this semester (next year she'll switch to teaching from it, which she should) because it of its selection of topics that are not found together anywhere else. I found the level challenging (I'm a first-year graduate student in a good department), but there is enough detail (LOTS of detail -- this is one looooong book) to follow the derivations. I especially appreciated the connection between theory and actual computational algorithms; very helpful and brain-stimulating. Also it links basic principles (quantum and classical) and current methods really well. One note: as my prof pointed out, there are a few errors, but the corrections have been posted on Tuckerman's NYU Stat Mech class website and they're easy to follow and not dire. (Which is good because I certainly couldn't have found them.) Anyway, this is a truly great book on a complex topic. I definitely recommend it for future students, and if it's not assigned, then use it as a supplement like I did.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products