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001			u370717
003			SIRSI
005			20160812080048.0
007			cr nn 008mamaa
008			100715s2010 ne | s |||| 0|eng d
020			_a9781402097850 _9978-1-4020-9785-0
040			_cMX-MeUAM
050		4	_aQD450-801
082	0	4	_a541.2 _223
100	1		_aDumitrica, Traian. _eeditor.
245	1	0	_aTrends in Computational Nanomechanics _h[recurso electrónico] : _bTranscending Length and Time Scales / _cedited by Traian Dumitrica.
264		1	_aDordrecht : _bSpringer Netherlands, _c2010.
300			_aXVIII, 620p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aChallenges and Advances in Computational Chemistry and Physics ; _v9
505	0		_aHybrid Quantum/Classical Modeling of Material Systems: The “Learn on the Fly” Molecular Dynamics Scheme -- Multiscale Molecular Dynamics and the Reverse Mapping Problem -- Transition Path Sampling Studies of Solid-Solid Transformations in Nanocrystals under Pressure -- Nonequilibrium Molecular Dynamics and Multiscale Modeling of Heat Conduction in Solids -- A Multiscale Methodology to Approach Nanoscale Thermal Transport -- Multiscale Modeling of Contact-Induced Plasticity in Nanocrystalline Metals -- Silicon Nanowires: From Empirical to First Principles Modeling -- Multiscale Modeling of Surface Effects on the Mechanical Behavior and Properties of Nanowires -- Predicting the Atomic Configuration of 1- and 2-Dimensional Nanostructures via Global Optimization Methods -- Atomic-Scale Simulations of the Mechanical Behavior of Carbon Nanotube Systems -- Stick-Spiral Model for Studying Mechanical Properties of Carbon Nanotubes -- Potentials for van der Waals Interaction in Nano-Scale Computation -- Electrical Conduction in Carbon Nanotubes under Mechanical Deformations -- Multiscale Modeling of Carbon Nanotubes -- Quasicontinuum Simulations of Deformations of Carbon Nanotubes -- Electronic Properties and Reactivities of Perfect, Defected, and Doped Single-Walled Carbon Nanotubes -- Multiscale Modeling of Biological Protein Materials – Deformation and Failure -- Computational Molecular Biomechanics: A Hierarchical Multiscale Framework With Applications to Gating of Mechanosensitive Channels of Large Conductance -- Out of Many, One: Modeling Schemes for Biopolymer and Biofibril Networks.
520			_aSituated at the intersection of Computational Chemistry, Solid State Physics, and Mechanical Engineering, Computational Nanomechanics has emerged as a new interdisciplinary research area that has already played a pivotal role in understanding the complex mechanical response of the nano-scale. Many important nanomechanical problems concern phenomena contained in the microscopic or the continuum phenomenological scale. Thus, they can be simulated with traditional computational approaches, such as molecular dynamics (for the microscopic scale) and finite elements (for the continuum scale). More recently, significant advances in computational methodologies have made it possible to go beyond the distinct approaches mentioned above. By seamlessly linking the previously separated discipline methodologies, multi-scale aspects of the behaviour of nano-materials can now be simulated and studied from both fundamental and engineering-application viewpoints. Trends in Computational Nanomechanics: Transcending Length and Time Scales reviews recent results generated via the application of individual or blended microscopic (from ab initio to tight binding to empirical force field) and continuum modeling techniques. It illustrates the significant progresses and challenges in developing multi-scale computational tools that aim to describe the nanomechanical response over multiple time scales and length scales ranging from the atomistic, through the microstructure or transitional, and up to the continuum, as well as the tremendous opportunities in using atomistic-to-continuum nanomechanical strategies in the bio-materials arena. Trends in Computational Nanomechanics: Transcending Length and Time Scales is a useful tool of reference for professionals, graduates, and undergraduates interested in Computational Chemistry and Physics, Materials Science, and Engineering.
650		0	_aChemistry.
650		0	_aComputer science.
650		0	_aNanotechnology.
650	1	4	_aChemistry.
650	2	4	_aTheoretical and Computational Chemistry.
650	2	4	_aNanotechnology.
650	2	4	_aCondensed Matter Physics.
650	2	4	_aNumerical and Computational Physics.
650	2	4	_aComputational Science and Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781402097843
830		0	_aChallenges and Advances in Computational Chemistry and Physics ; _v9
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4020-9785-0
596			_a19
942			_cLIBRO_ELEC
999			_c198597 _d198597