000			02947nam a22003618i 4500
001			CR9781139015554
003			UkCbUP
005			20200124160302.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110214s2012||||enk o ||1 0|eng|d
020			_a9781139015554 (ebook)
020			_z9780521765619 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTP155.2.T45 _bK39 2012
082	0	0	_a536/.7 _223
100	1		_aKaznessis, Yiannis Nikolaos, _d1971- _eauthor.
245	1	0	_aStatistical thermodynamics and stochastic kinetics : _ban introduction for engineers / _cYiannis Nikolaos Kaznessis.
246	3		_aStatistical Thermodynamics & Stochastic Kinetics
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (xii, 314 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine generated contents note: 1. Introduction; 2. Elements of probability and combinatorial theory; 3. From classical to quantum mechanics, and back; 4. Ensemble theory; 5. Canonical ensemble; 6. Fluctuations and other ensembles; 7. Molecules; 8. Non-ideal gases; 9. Liquids and crystals; 10. Beyond pure, single-component systems; 11. Polymers - Brownian dynamics; 12. Non-equilibrium thermodynamics; 13. Stochastic processes; 14. Molecular simulations; 15. Monte Carlo simulations; 16. Molecular dynamics simulations; 17. Analyzing simulation results; 18. Simulations of stochastic reaction kinetics.
520			_aPresenting the key principles of thermodynamics from a microscopic point of view, this book provides engineers with the knowledge they need to apply thermodynamics and solve engineering challenges at the molecular level. It clearly explains the concepts of entropy and free energy, emphasizing key ideas used in equilibrium applications, whilst stochastic processes, such as stochastic reaction kinetics, are also covered. It provides a classical microscopic interpretation of thermodynamic properties, which is key for engineers, rather than focusing on more esoteric concepts of statistical mechanics and quantum mechanics. Coverage of molecular dynamics and Monte Carlo simulations as natural extensions of the theoretical treatment of statistical thermodynamics is also included, teaching readers how to use computer simulations and thus enabling them to understand and engineer the microcosm. Featuring many worked examples and over 100 end-of-chapter exercises, it is ideal for use in the classroom as well as for self-study.
650		0	_aStatistical thermodynamics.
650		0	_aStochastic processes.
650		0	_aMolucular dynamics _xSimulation methods.
776	0	8	_iPrint version: _z9780521765619
856	4	0	_uhttps://doi.org/10.1017/CBO9781139015554
999			_c520509 _d520507