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Cited by 422

The DOI matches its Crossref record; 184 of the 184 references it cites were found in a registry or an index.

On the inner workings of Monte Carlo codes

Open access
Dubbeldam, David, Torres-Knoop, Ariana, Walton, Krista S.·2013·Molecular Simulation

Abstract

We review state-of-the-art Monte Carlo (MC) techniques for computing fluid coexistence properties (Gibbs simulations) and adsorption simulations in nanoporous materials such as zeolites and metal–organic frameworks. Conventional MC is discussed and compared to advanced techniques such as reactive MC, configurational-bias Monte Carlo and continuous fractional MC. The latter technique overcomes the problem of low insertion probabilities in open systems. Other modern methods are (hyper-)parallel tempering, Wang–Landau sampling and nested sampling. Details on the techniques and acceptance rules as well as to what systems these techniques can be applied are provided. We highlight consistency tests to help validate and debug MC codes.

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Metadata

Authors
Dubbeldam, D., Torres-Knoop, A., & Walton, K. S.
Venue
Molecular Simulation
Published
2013-12
Volume
39
Issue
14-15
Pages
1253-1292
ISSN
  • 0892-7022 (ISSN-L)
  • 1029-0435
OpenAlex
W2149529230
Cited by
422
References
184
FWCI
14.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: On the inner workings of Monte Carlo codes. https://app.cochat.ai/papers/10.1080/08927022.2013.819102
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Dubbeldam, D., Torres-Knoop, A., & Walton, K. S. (2013). On the inner workings of Monte Carlo codes. Molecular Simulation. https://doi.org/10.1080/08927022.2013.819102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.