Publikation: Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Bayesian inference is a conscientious statistical method which is successfully used in many branches of physics and engineering. Compared to conventional approaches, it makes highly efficient use of information hidden in a measured quantity by predicting the distribution of future data points based on posterior information. Here we apply this method to determine the stress-relaxation time and the solvent and polymer contributions to the frequency dependent viscosity of a viscoelastic Jeffrey's fluid by the analysis of the measured trajectory of an optically trapped Brownian particle. When comparing the results to those obtained from the auto-correlation function, mean-squared displacement or the power spectrum, we find Bayesian inference to be much more accurate and less affected by systematic errors.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
PAUL, Shuvojit, Narinder NARINDER, Ayan BANERJEE, K. Rajesh NAYAK, Jakob STEINDL, Clemens BECHINGER, 2021. Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers. In: Scientific Reports. Springer Nature. 2021, 11(1), 2023. eISSN 2045-2322. Available under: doi: 10.1038/s41598-021-81094-xBibTex
@article{Paul2021-01-21Bayes-52788, year={2021}, doi={10.1038/s41598-021-81094-x}, title={Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers}, number={1}, volume={11}, journal={Scientific Reports}, author={Paul, Shuvojit and Narinder, Narinder and Banerjee, Ayan and Nayak, K. Rajesh and Steindl, Jakob and Bechinger, Clemens}, note={Article Number: 2023} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52788"> <dc:creator>Bechinger, Clemens</dc:creator> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/52788/1/Paul_2-1ud95hhq9mn765.pdf"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/41"/> <dc:contributor>Banerjee, Ayan</dc:contributor> <dc:creator>Steindl, Jakob</dc:creator> <dc:creator>Paul, Shuvojit</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <dc:creator>Nayak, K. Rajesh</dc:creator> <dc:contributor>Narinder, Narinder</dc:contributor> <dcterms:abstract xml:lang="eng">Bayesian inference is a conscientious statistical method which is successfully used in many branches of physics and engineering. Compared to conventional approaches, it makes highly efficient use of information hidden in a measured quantity by predicting the distribution of future data points based on posterior information. Here we apply this method to determine the stress-relaxation time and the solvent and polymer contributions to the frequency dependent viscosity of a viscoelastic Jeffrey's fluid by the analysis of the measured trajectory of an optically trapped Brownian particle. When comparing the results to those obtained from the auto-correlation function, mean-squared displacement or the power spectrum, we find Bayesian inference to be much more accurate and less affected by systematic errors.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-10T10:05:53Z</dcterms:available> <dc:contributor>Steindl, Jakob</dc:contributor> <dc:creator>Banerjee, Ayan</dc:creator> <dc:contributor>Nayak, K. Rajesh</dc:contributor> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/52788/1/Paul_2-1ud95hhq9mn765.pdf"/> <dc:contributor>Paul, Shuvojit</dc:contributor> <dcterms:issued>2021-01-21</dcterms:issued> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/52788"/> <dc:rights>Attribution 4.0 International</dc:rights> <dc:creator>Narinder, Narinder</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-10T10:05:53Z</dc:date> <dcterms:title>Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers</dcterms:title> <dc:contributor>Bechinger, Clemens</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/41"/> </rdf:Description> </rdf:RDF>