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Claim

STable AutoCorrelation Integral Estimator (STACIE)

Abstract

STACIE is a Python package for post-processing molecular dynamics simulations, but it can also be used for more general analysis of time-correlated data. Typical applications include estimating transport properties, uncertainties of averages over time-correlated data, and analysis of characteristic timescales.

If you use this software, please cite it using these metadata.

Related Organizations
Keywords

time correlation, characteristic timescales, integrated correlation time, autocorrelation integral, uncertainty quantification, post-processing, data analysis, Python package, molecular dynamics, open source, transport properties, scientific computing, autocorrelation function, LGPL, exponential correlation time, PSD, ACF, power spectral distribution, STACIE

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average