Mikroskopischer Mechanismus der spezifischen Adhäsion von Peptiden an Halbleitersubstraten

Bachmann, Michael; Goede, Karsten; Beck‐Sickinger, Annette G.; Grundmann, Marius; Irbäck, Anders; Janke, Wolfhard

doi:10.1002/ange.201000984

Cited by 1 publication

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among such sophisticated techniques at the nanometer scale are, e.g., atomic force microscopy (AFM), where it is possible to measure the contour length and the end-to-end distance of individual polymers 211 or to quantitatively investigate the peptide adhesion on semiconductor surfaces. 212 Another exper-imental tool with an extraordinary resolution in positioning and accuracy in force measurements are optical tweezers. 213,214 With this motivation we recently performed a careful classification of thermodynamic phases and phase transitions for a range of surface attraction strengths and temperatures and compared the results for end-grafted polymers 215 with those of non-grafted polymers 216 that can move freely within a simulation box.…”

Section: Polymer Statistics: Adsorption Phenomenamentioning

confidence: 99%

Monte Carlo Simulations in Statistical Physics — From Basic Principles to Advanced Applications

Janke

2012

Order, Disorder and Criticality

Self Cite

View full text Add to dashboard Cite

This chapter starts with an overview of Monte Carlo computer simulation methodologies which are illustrated for the simple case of the Ising model. After reviewing importance sampling schemes based on Markov chains and standard local update rules (Metropolis, Glauber, heat-bath), nonlocal cluster-update algorithms are explained which drastically reduce the problem of critical slowing down at second-order phase transitions and thus improve the performance of simulations. How this can be quantified is explained in the section on statistical error analyses of simulation data including the effect of temporal correlations and autocorrelation times. Histogram reweighting methods are explained in the next section. Eventually, more advanced generalized ensemble methods (simulated and parallel tempering, multicanonical ensemble, Wang-Landau method) are discussed which are particularly important for simulations of first-order phase transitions and, in general, of systems with rare-event states. The setup of scaling and finite-size scaling analyses is the content of the following section. The chapter concludes with two advanced applications to complex physical systems. The first example deals with a quenched, diluted ferromagnet, and in the second application we consider the adsorption properties of macromolecules such as polymers and proteins to solid substrates. Such systems often require especially tailored algorithms for their efficient and successful simulation. World Scientific Review Volume-9in x 6in lviv-ising-lect˙corr

show abstract