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_a10.1007/978-3-540-74029-2 _2doi |
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_aPHF _2bicssc |
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_a530.41 _223 |
100 | 1 |
_aJanke, Wolfhard. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aRugged Free Energy Landscapes _h[electronic resource] : _bCommon Computational Approaches to Spin Glasses, Structural Glasses and Biological Macromolecules / _cby Wolfhard Janke. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
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300 |
_aX, 412 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Physics, _x0075-8450 ; _v736 |
|
505 | 0 | _aRugged Free-Energy Landscapes – An Introduction -- Rugged Free-Energy Landscapes – An Introduction -- Spin Glasses -- Some Aspects of Infinite-Range Models of Spin Glasses: Theory and Numerical Simulations -- The Potts Glass Model: A Scenario for the Freezing Transition of Structural Glasses? -- Domain Walls, Droplets and Barriers in Two-Dimensional Ising Spin Glasses -- Local Scale-Invariance in Disordered Systems -- Structural Glasses -- Transport of Mobile Particles in an Immobile Environment: Computer Simulations of Sodium Silicates -- The Gonihedric Ising Model and Glassiness -- Protein Folding -- Thermodynamics of Protein Folding from Coarse-Grained Models’ Perspectives -- Exact Energy Landscapes of Proteins Using a Coarse-Grained Model -- Protein Folding, Unfolding and Aggregation Studied Using an All-Atom Model with~a~Simplified Interaction Potential -- All-Atom Simulations of Proteins -- Algorithmic Developments -- Markov Chain Monte Carlo Methods for Simulations of Biomolecules -- A Different Approach to Monte Carlo Simulations in Systems with Complex Free-Energy Landscapes -- Generalized-Ensemble Algorithms for Protein Folding Simulations. | |
520 | _aThis collection of lectures and tutorial reviews by renowned experts focusses on the common computational approaches in use to unravel the static and dynamical behaviour of complex physical systems at the interface of physics, chemistry and biology. Paradigmatic examples of condensed matter physics are spin and structural glasses and protein folding, as well as their aggregation and adsorption to hard and soft surfaces, in physico-chemical biology. Among the most prominent joint key features of the systems considered in this volume are rugged free-energy landscapes. These generate metastability and are often responsible for very slow dynamics allowing for the system to be trapped in one of the many available local minima. The challenge set forth by the authors of this volume is to provide a common basis and technical language for the (computational) technology transfer between the fields and systems considered. | ||
650 | 0 | _aStatistical physics. | |
650 | 1 | 4 |
_aCondensed Matter Physics. _0http://scigraph.springernature.com/things/product-market-codes/P25005 |
650 | 2 | 4 |
_aPhase Transitions and Multiphase Systems. _0http://scigraph.springernature.com/things/product-market-codes/P25099 |
650 | 2 | 4 |
_aComplex Systems. _0http://scigraph.springernature.com/things/product-market-codes/P33000 |
650 | 2 | 4 |
_aNumerical and Computational Physics, Simulation. _0http://scigraph.springernature.com/things/product-market-codes/P19021 |
650 | 2 | 4 |
_aBiological and Medical Physics, Biophysics. _0http://scigraph.springernature.com/things/product-market-codes/P27008 |
650 | 2 | 4 |
_aStatistical Physics and Dynamical Systems. _0http://scigraph.springernature.com/things/product-market-codes/P19090 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540841852 |
776 | 0 | 8 |
_iPrinted edition: _z9783642093326 |
776 | 0 | 8 |
_iPrinted edition: _z9783540740254 |
830 | 0 |
_aLecture Notes in Physics, _x0075-8450 ; _v736 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-74029-2 |
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