Improving the Efficiency of the Aggregation−Volume−Bias Monte Carlo Algorithm-Reference-Cited by-同舟云学术

Improving the Efficiency of the Aggregation−Volume−Bias Monte Carlo Algorithm

Published:2001-10-16 Issue:45 Volume:105 Page:11275-11282
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Chen Bin¹,Siepmann J. Ilja¹

Affiliation:

1. Department of Chemistry and Department of Chemical Engineering and Materials Science, University of Minnesota, 207 Pleasant Street SE, Minneapolis, Minnesota 55455-0431

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/jp012209k

Reference24 articles.

1. Equation of State Calculations by Fast Computing Machines

2. Bond‐bias simulation of phase equilibria for strongly associating fluids

3. A Monte Carlo method for simulating associating fluids

4. Monte Carlo simulation ofn‐member associating fluids: Application to antigen–antibody systems

Cited by 124 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monte Carlo molecular simulations with FEASST version 0.25.1;The Journal of Chemical Physics;2024-09-05

2. Extension of the lattice-based aggregation-volume-bias Monte Carlo approach to molecular crystals: Quantitative calculations on the thermodynamic stability of the urea polymorphs;The Journal of Chemical Physics;2024-07-26

3. Flat-Histogram Monte Carlo Simulation of Water Adsorption in Metal–Organic Frameworks;The Journal of Physical Chemistry B;2024-04-27

4. Phase behavior of patchy colloids confined in patchy porous media;Nanoscale;2024

5. Direct evidence on the crossover from BCC to FCC stability: A lattice-based aggregation-volume-bias Monte Carlo approach to polymorphism;The Journal of Chemical Physics;2023-08-16