Entropy and Free Energy in Structural Biology

Entropy and Free Energy in Structural Biology
Author :
Publisher : CRC Press
Total Pages : 348
Release :
ISBN-10 : 9781000072327
ISBN-13 : 1000072320
Rating : 4/5 (320 Downloads)

Book Synopsis Entropy and Free Energy in Structural Biology by : Hagai Meirovitch

Download or read book Entropy and Free Energy in Structural Biology written by Hagai Meirovitch and published by CRC Press. This book was released on 2020-08-14 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear Structure Physics connects to some of our fundamental questions about the creation of the universe and its basic constituents. At the same time, precise knowledge on the subject has led to the development of many important tools for humankind such as proton therapy and radioactive dating, among others. This book has chapters on some of the crucial and trending research topics in nuclear structure, including the nuclei lying on the extremes of spin, isospin and mass. A better theoretical understanding of these topics is important beyond the confines of the nuclear structure community. Additionally, the book will showcase the applicability and success of the different nuclear effective interaction parameters near the drip line, where hints for level reordering have already been seen, and where one can test the isospin-dependence of the interaction. The book offers comprehensive coverage of the most essential topics, including: • Nuclear Structure of Nuclei at or Near Drip-Lines • Synthesis challenges and properties of Superheavy nuclei • Nuclear Structure and Nuclear models - Ab-initio calculations, cluster models, Shell-model/DSM, RMF, Skyrme • Shell Closure, Magicity and other novel features of nuclei at extremes • Structure of Toroidal, Bubble Nuclei, halo and other exotic nuclei These topics are not only very interesting from a theoretical nuclear physics perspective but are also quite complimentary for ongoing nuclear physics experimental programs worldwide. The book chapters, written by experienced and well-known researchers/experts, will be helpful for master students, graduate students and researchers and serve as a standard and up-to-date research reference book on the topics covered.

Entropy and Free Energy in Structural Biology Related Books

Entropy and Free Energy in Structural Biology
Language: en
Pages: 348
Authors: Hagai Meirovitch
Categories: Computers
Type: BOOK - Published: 2020-08-14 - Publisher: CRC Press

GET EBOOK

Nuclear Structure Physics connects to some of our fundamental questions about the creation of the universe and its basic constituents. At the same time, precise
Discover Entropy And The Second Law Of Thermodynamics: A Playful Way Of Discovering A Law Of Nature
Language: en
Pages: 287
Authors: Arieh Ben-naim
Categories: Science
Type: BOOK - Published: 2010-08-03 - Publisher: World Scientific

GET EBOOK

This is a sequel to the author's book entitled “Entropy Demystified” (Published by World Scientific, 2007). The aim is essentially the same as that of the p
Chemical Thermodynamics for Process Simulation
Language: en
Pages: 819
Authors: Jürgen Gmehling
Categories: Science
Type: BOOK - Published: 2019-06-10 - Publisher: John Wiley & Sons

GET EBOOK

The only textbook that applies thermodynamics to real-world process engineering problems This must-read for advanced students and professionals alike is the fir
Advances in the Modelling of Thermodynamic Systems
Language: en
Pages: 336
Authors: Elhoucine Essefi
Categories: Science
Type: BOOK - Published: 2022 - Publisher: Engineering Science Reference

GET EBOOK

Discusses the recent advances in modeling of thermodynamic systems as well as the state-of-the-art manmade industrial processes and natural processes taking pla
Modelling and Simulation in Thermal and Chemical Engineering
Language: en
Pages: 248
Authors: J. Thoma
Categories: Science
Type: BOOK - Published: 2000 - Publisher: Springer Science & Business Media

GET EBOOK

The main object of this book is modeling and simulation of energetic processes by bond graphs. But even without knowledge of this powerful method it can be used