Thermodynamics and structure of macromolecules from flat-histogram Monte Carlo simulations

Soft Matter ◽  
2016 ◽  
Vol 12 (3) ◽  
pp. 642-657 ◽  
Author(s):  
Wolfhard Janke ◽  
Wolfgang Paul

Over the last decade flat-histogram Monte Carlo simulations, especially multi-canonical and Wang–Landau simulations, have emerged as a strong tool to study the statistical mechanics of polymer chains.

2008 ◽  
Vol 20 (49) ◽  
pp. 494215 ◽  
Author(s):  
K Binder ◽  
W Paul ◽  
T Strauch ◽  
F Rampf ◽  
V Ivanov ◽  
...  

2017 ◽  
Vol 19 (46) ◽  
pp. 31377-31388 ◽  
Author(s):  
Juan Ignacio Lopez Ortiz ◽  
Paola Torres ◽  
Evelina Quiroga ◽  
Claudio F. Narambuena ◽  
Antonio J. Ramirez-Pastor

Statistical mechanics studies predict how three-domain antifreeze proteins adsorb on an ice surface, with a remarkable agreement with Monte Carlo simulations.


Soft Matter ◽  
2021 ◽  
Author(s):  
James Munro Polson ◽  
Desiree Rehel

Motivated by recent nanofluidics experiments, we use Brownian dynamics and Monte Carlo simulations to study the conformation, organization and dynamics of two polymer chains confined to a single box-like cavity....


1990 ◽  
Vol 04 (11n12) ◽  
pp. 1763-1808 ◽  
Author(s):  
W. JANKE

The statistical mechanics of fluctuating surfaces plays an important role in a variety of physical systems, ranging from biological membranes to world sheets of strings in theories of fundamental interactions. In many applications it is a good approximation to assume that the surfaces possess no tension. Their statistical properties are then governed by curvature energies only, which allow for gigantic out-of-plane undulations. These fluctuations are the “entropic” origin of long-range repulsive forces in layered surface systems. Theoretical estimates of these forces for simple model surfaces are surveyed and compared with recent Monte Carlo simulations.


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