000			02475cam a2200241 a 4500
999			_c1530 _d1530
003			OSt
005			20201224145949.0
008			100831s2011 enka b 001 0 eng
020			_a9780815344308
040			_c
082	0	0	_a536.7 _bDIL / B
100	1		_aDill, Ken A. _eAuthor
245	1	0	_aMolecular driving forces : _bstatistical thermodynamics in biology, chemistry, physics, and nanoscience
250			_a2nd ed.
260			_aNew York : _bGarland Science, _c©2011.
300			_axx, 756 p. : _bill. ; _c28 cm (Paperback)
504			_aIncludes bibliographical references and index.
520			_a"Molecular driving forces, second edition is an introductory statistical thermodynamics text that describes the principles and forces that drive chemical and biological processes. The second edition includes an additional chapter on thermodynamics and two new chapters: (1)"Microscopic dynamics" which explores single molecule experiments; and (2) "Bio and nano machines" which describes the workings of biological molecules including proteins and DNA. New examples and practical applications are integrated throughout the revised and updated text, exploring topics in biology, environmental and energy science, and nanotechnology. It also includes new end-of-chapter problems, and purely mathematical topics are now in appendices. Written in a clear and reader-friendly style, the book provides an excellent introduction to the subject for novices while remaining a valuable resource for experts"-- _cProvided by publisher.
520			_a"This text is intended for graduate students and advanced undergraduates in physical chemistry, biochemistry, biophysics, bioengineering, polymer and materials science, pharmaceutical chemistry, chemical engineering, and environmental science. Our focus here is on molecular driving forces, which overlaps with--but is not identical to--the subject of thermodynamics. While the power of thermodynamics is its generality, the power of statistical thermodynamics is the insights it gives into microscopic interactions through the enterprise of model-making. A central theme of this book is that making models, even very simple ones, is a route to insight and to understanding how molecules work. A good theory, no matter how complex its mathematics, is usually rooted in some very simple physical idea"-- _cProvided by publisher.
650		0	_aStatistical thermodynamics.
700	1		_aBromberg, Sarina _eAuthor
942			_2ddc _cBK