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020 _a9783540740292
_9978-3-540-74029-2
024 7 _a10.1007/978-3-540-74029-2
_2doi
050 4 _aQC173.45-173.458
072 7 _aPHF
_2bicssc
072 7 _aSCI077000
_2bisacsh
072 7 _aPHF
_2thema
082 0 4 _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.
300 _aX, 412 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _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
912 _aZDB-2-PHA
912 _aZDB-2-LNP
999 _c10722
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