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dc.contributor.authorRöding, M
dc.contributor.authorBradley, SJ
dc.contributor.authorWilliamson, NH
dc.contributor.authorDewi, MR
dc.contributor.authorNann, T
dc.contributor.authorNydén, M
dc.date.accessioned2020-12-10T01:27:27Z
dc.date.available2020-12-10T01:27:27Z
dc.date.issued2016
dc.identifierpii: PONE-D-15-37927
dc.identifier.citationRöding, M., Bradley, S. J., Williamson, N. H., Dewi, M. R., Nann, T. & Nydén, M. (2016). The Power of Heterogeneity: Parameter Relationships from Distributions.. PLoS One, 11 (5), pp.e0155718-. https://doi.org/10.1371/journal.pone.0155718.
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11343/253710
dc.description.abstractComplex scientific data is becoming the norm, many disciplines are growing immensely data-rich, and higher-dimensional measurements are performed to resolve complex relationships between parameters. Inherently multi-dimensional measurements can directly provide information on both the distributions of individual parameters and the relationships between them, such as in nuclear magnetic resonance and optical spectroscopy. However, when data originates from different measurements and comes in different forms, resolving parameter relationships is a matter of data analysis rather than experiment. We present a method for resolving relationships between parameters that are distributed individually and also correlated. In two case studies, we model the relationships between diameter and luminescence properties of quantum dots and the relationship between molecular weight and diffusion coefficient for polymers. Although it is expected that resolving complicated correlated relationships require inherently multi-dimensional measurements, our method constitutes a useful contribution to the modelling of quantitative relationships between correlated parameters and measurements. We emphasise the general applicability of the method in fields where heterogeneity and complex distributions of parameters are obstacles to scientific insight.
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleThe Power of Heterogeneity: Parameter Relationships from Distributions.
dc.typeJournal Article
dc.identifier.doi10.1371/journal.pone.0155718
melbourne.affiliation.departmentSchool of Chemistry
melbourne.source.titlePLoS One
melbourne.source.volume11
melbourne.source.issue5
melbourne.source.pagese0155718-
dc.rights.licenseCC BY
melbourne.elementsid1324375
melbourne.openaccess.pmchttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868339
melbourne.contributor.authorBradley, Siobhan
dc.identifier.eissn1932-6203
melbourne.accessrightsOpen Access


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