Large-Scale Monte Carlo Simulations for Aggregation, Self-Assembly, and Phase Equilibria

2008 ◽  
pp. 189-199
Author(s):  
Jake L. Rafferty ◽  
Ling Zhang ◽  
Nikolaj D. Zhuravlev ◽  
Kelly E. Anderson ◽  
Becky L. Eggimann ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Phase Equilibria ◽  
Monte Carlo Simulations ◽  
Self Assembly ◽  
Large Scale

Self-assembly of AB diblock copolymer solutions confined in cylindrical nanopores

2017 ◽  
Vol 1 (3) ◽  
pp. 487-494 ◽  
Author(s):  
Yuping Sheng ◽  
Yutian Zhu ◽  
Wei Jiang ◽  
Zeyuan Dong
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Diblock Copolymer ◽  
Self Assembly ◽  
The Self

The self-assembly of AB diblock copolymer solutions confined in a cylindrical nanopore is investigated systematically via Monte Carlo simulations.

Self-assembly of conformationally flexible molecules under 2D confinement: structural analysis from computer simulations

2018 ◽  
Vol 54 (63) ◽  
pp. 8749-8752 ◽  
Author(s):  
Damian Nieckarz ◽  
Paweł Szabelski
Keyword(s):  
Monte Carlo ◽  
Structural Analysis ◽  
Monte Carlo Simulations ◽  
Computer Simulations ◽  
Self Assembly ◽  
Flexible Molecules

Monte Carlo simulations reveal the role of surface conformers in self-assembly on crystalline supports.

scholarly journals TESTS OF RANDOM NUMBER GENERATORS USING ISING MODEL SIMULATIONS

1996 ◽  
Vol 07 (03) ◽  
pp. 295-303 ◽  
Author(s):  
P. D. CODDINGTON
Keyword(s):  
Monte Carlo ◽  
Ising Model ◽  
Monte Carlo Simulations ◽  
High Performance ◽  
Large Scale ◽  
Random Number ◽  
Random Number Generators ◽  
Lattice Monte Carlo ◽  
High Performance Computers

Large-scale Monte Carlo simulations require high-quality random number generators to ensure correct results. The contrapositive of this statement is also true — the quality of random number generators can be tested by using them in large-scale Monte Carlo simulations. We have tested many commonly-used random number generators with high precision Monte Carlo simulations of the 2-d Ising model using the Metropolis, Swendsen-Wang, and Wolff algorithms. This work is being extended to the testing of random number generators for parallel computers. The results of these tests are presented, along with recommendations for random number generators for high-performance computers, particularly for lattice Monte Carlo simulations.

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