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Optimizing Weighted Ensemble Sampling of Steady States

Multiscale Modeling and Simulation(2020)10.1137/18m1212100Source: DataRank Database

Optimizing Weighted Ensemble Sampling of Steady States is a research paper published in Multiscale Modeling and Simulation (2020). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)Impact (FWCI 0.60)OA: greenTopics (44)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Daniel Zuckerman ORCID,David Aristoff ORCID

Live enrichment

PubMed:34421402 PMC:PMC8378190 OpenAlex:https://openalex.org/W2889956940

National Institutes of Health

Grant: GM115805

National Science Foundation

Grant: DMS-1522398

National Science Foundation

Grant: DMS-1818726

NIGMS NIH HHS

Grant: R01 GM115805

National Science Foundation

Grant: 1818726

Collaborative Research: Stochastic Methods for Complex Systems

National Science Foundation

Grant: 1522398

Algorithms for Complex Systems

National Institutes of Health

Grant: 5R01GM115805-10

WESTPA: A high-performance framework for simulating at the frontiers of biology

FWCI

0.60

Citation Percentile

0.7%

Citation Trend

2018

2019

2020

2022

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/1806.00860

publisherhttps://epubs.siam.org/doi/pdf/10.1137/18M1212100

repositoryhttp://arxiv.org/abs/1806.00860

journalhttps://doi.org/10.1137/18m1212100

Fields of Study

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian InferenceGaussian Processes and Bayesian Inference01 natural sciences0104 chemical sciences0103 physical sciences

Keywords

Markov chain Monte CarloMarkov chainPartition (number theory)BinMonte Carlo methodSampling (signal processing)Importance samplingComputer scienceAlgorithmMathematical optimizationStatistical physicsMathematicsApplied mathematicsStatisticsPhysicsCombinatoricsCoarse GrainingMolecular dynamicsResamplingSequential Monte CarloMarkov ChainsSteady StateReaction Networks65C05Weighted Ensemble65C2065C4082c8065y05Monte Carlo methodsParallel numerical computationNumerical Analysis (math.NA)Probabilistic models, generic numerical methods in probability and statisticsFOS: MathematicsNumerical methods of time-dependent statistical mechanicsNumerical analysis or methods applied to Markov chainsMathematics - Numerical Analysis65C05, 65C20, 65C40, 65Y05, 82C80