Entropy-Enthalpy Compensation

Finding a Methodological Common Denominator Through Probability, Statistics, and Physics
Herausgeber: Starikov, Evgeni; Tanaka, Shigenori; Nordén, Bengt

• Gebundenes Buch

Produktbeschreibung

This book dwells on these posers. It combines two chapters written by globally recognized specialists. Chapter 1 deals with general issues and suggests a definite approach to how we may answer the posers. This might provide other interesting strategic perspectives in the general theoretical physical chemistry field.

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Produktdetails

• Verlag: Jenny Stanford Publishing
• Seitenzahl: 398
• Erscheinungstermin: 30. Dezember 2020
• Englisch
• Abmessung: 229mm x 152mm x 24mm
• Gewicht: 726g
• ISBN-13: 9789814877305
• ISBN-10: 9814877301
• Artikelnr.: 59997807

Autorenporträt

Evgeni Starikov is a specialist in theoretical biophysical chemistry with nearly 30 years of professional experience. Currently, he is a freelance researcher at Chalmers University of Technology, Sweden, and Kobe University, Japan. Prof. Starikov has authored around 100 articles and a monograph and co-edited a book. His current research interests include applications of thermodynamics. Bengt Nordén is chair professor of physical chemistry at the Chalmers University of Technology, Gothenburg, Sweden, since 1979. He is a member of the Royal Swedish Academy of Sciences' Class that awards the Nobel Prize for Chemistry and founder and chairman of the Molecular Frontiers Foundation, a global organization hosted by the academy to identify breakthroughs in science early on and stimulate young people's and society's interests in science by entry through molecular sciences. He has authored around 500 scientific papers and textbooks mainly on DNA and other biomacromolecules studied in solution using polarized light spectroscopy. Shigenori Tanaka is professor at Kobe University, Japan, since 2004. He has authored around 170 peer-reviewed papers and co-edited a couple of books. His primary research interests are the development of first-principles computational methods for biomolecular systems and their applications for bottom-up modeling of biological phenomena.