Computer simulation of shape relaxation in cubic lattice models of linear polymers

1991 ◽  
Vol 24 (5) ◽  
pp. 1205-1206 ◽  
Author(s):  
Thomas D. Hahn ◽  
E. Todd Ryan ◽  
Jeffrey Kovac
Keyword(s):  
Computer Simulation ◽  
Lattice Models ◽  
Linear Polymers ◽  
Cubic Lattice

scholarly journals Adsorption and self-assembly of linear polymers on surfaces: a computer simulation study

Soft Matter ◽  
2009 ◽  
Vol 5 (3) ◽  
pp. 637-645 ◽  
Author(s):  
Alexandros Chremos ◽  
Emmanouil Glynos ◽  
Vasileios Koutsos ◽  
Philip J. Camp
Keyword(s):  
Computer Simulation ◽  
Simulation Study ◽  
Self Assembly ◽  
Linear Polymers ◽  
Computer Simulation Study

scholarly journals Memory Effects of Simple Cubic Lattice Models

1971 ◽  
Vol 46 (3) ◽  
pp. 701-713 ◽  
Author(s):  
Toyonori Munakata ◽  
Akira Tsurui
Keyword(s):  
Lattice Models ◽  
Memory Effects ◽  
Cubic Lattice ◽  
Simple Cubic ◽  
Simple Cubic Lattice

New proteinlike properties of cubic lattice models

1999 ◽  
Vol 59 (1) ◽  
pp. 942-946 ◽  
Author(s):  
Georges Trinquier ◽  
Yves-Henri Sanejouand
Keyword(s):  
Lattice Models ◽  
Cubic Lattice

Brittle Intergranular Failure in Grain Aggregates - A Computer Simulation by Means of the Graphics Processing Unit

2009 ◽  
Vol 409 ◽  
pp. 386-389
Author(s):  
Miriam Kupková ◽  
Samuel Kupka
Keyword(s):  
Computer Simulation ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Graphics Processing Unit ◽  
Computational Time ◽  
Processing Unit ◽  
Binary Variable ◽  
Cubic Lattice ◽  
Increasing Temperature ◽  
Graphics Processing

Within a model considered, each of bonds between contacting grains is treated as a two-state system and represented by a binary variable. Its two values refer to the two possible states of bond – intact or broken. A Monte Carlo simulation of fracture is carried out on a set of binary variables arranged to a cubic lattice. The transition from one configuration of broken bonds to another is governed by a Griffith-like energy associated with each of configurations. The results demonstrate i) the capability of the model to provide a useful information (e.g. the increase in roughness of fracture surface with increasing temperature, that is the transition from “brittle” to “plastic” failure), and ii) the advantage of simulation by using the graphics processing unit (saving of a computational time).

scholarly journals Stochastic lattice models for the dynamics of linear polymers

2009 ◽  
Vol 475 (5-6) ◽  
pp. 53-90 ◽  
Author(s):  
J.M.J. van Leeuwen ◽  
Andrzej Drzewiński
Keyword(s):  
Lattice Models ◽  
Linear Polymers
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