You are currently on a failover version of the Materials Cloud Archive hosted at CINECA, Italy.
Click here to access the main Materials Cloud Archive.
Note: If the link above redirects you to this page, it means that the Archive is currently offline due to maintenance. We will be back online as soon as possible.
This version is read-only: you can view published records and download files, but you cannot create new records or make changes to existing ones.
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Pegolo, Paolo</dc:creator> <dc:creator>Drigo, Enrico</dc:creator> <dc:creator>Grasselli, Federico</dc:creator> <dc:creator>Baroni, Stefano</dc:creator> <dc:date>2025-01-23</dc:date> <dc:description>The determination of transport coefficients through the time-honoured Green-Kubo theory of linear response and equilibrium molecular dynamics requires significantly longer simulation times than those of equilibrium properties, while being further hindered by the lack of well-established data-analysis techniques to evaluate the statistical accuracy of the results. Leveraging recent advances in the spectral analysis of the current time series associated to molecular trajectories, we introduce a new method to estimate the full (diagonal as well as off-diagonal) Onsager matrix of transport coefficients from a single statistical model. This approach, based on the knowledge of the statistical distribution of the Onsager-matrix samples in the frequency domain, unifies the evaluation of diagonal (conductivities and viscosities) and off-diagonal (e.g., thermoelectric) transport coefficients within a comprehensive framework, significantly improving the reliability of transport coefficient estimation for materials ranging from molten salts to solid-state electrolytes. We validate the accuracy of this method against existing approaches using benchmark data on molten cesium fluoride and liquid water, and conclude our presentation with the computation of various transport coefficients of the Li₃PS₄ solid-state electrolyte.</dc:description> <dc:identifier>https://materialscloud-archive-failover.cineca.it/record/2025.18</dc:identifier> <dc:identifier>doi:10.24435/materialscloud:hf-ar</dc:identifier> <dc:identifier>mcid:2025.18</dc:identifier> <dc:identifier>oai:materialscloud.org:2536</dc:identifier> <dc:language>en</dc:language> <dc:publisher>Materials Cloud</dc:publisher> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>transport</dc:subject> <dc:subject>molecular dynamics</dc:subject> <dc:subject>solid-state electrolytes</dc:subject> <dc:subject>thermoelectricity</dc:subject> <dc:title>Transport coefficients from equilibrium molecular dynamics</dc:title> <dc:type>Dataset</dc:type> </oai_dc:dc>