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dc.creatorLiu, Xiaoting
dc.creatorSun, HongGuang
dc.creatorLazarević, Mihailo
dc.creatorFu, Zhuojia
dc.date.accessioned2022-09-19T18:09:37Z
dc.date.available2022-09-19T18:09:37Z
dc.date.issued2017
dc.identifier.issn0354-9836
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/2558
dc.description.abstractThis paper pays attention to develop a variable-order fractal derivative model for anomalous diffusion. Previous investigations have indicated that the medium structure, fractal dimension or porosity may change with time or space during solute transport processes, results in time or spatial dependent anomalous diffusion phenomena. Hereby, this study makes an attempt to introduce a variable-order fractal derivative diffusion model, in which the index of fractal derivative depends on temporal moment or spatial position, to characterize the previous mentioned anomalous diffusion (or transport) processes. Compared with other models, the main advantages in description and the physical explanation of new model are explored by numerical simulation. Further discussions on the dissimilitude such as computational efficiency, diffusion behavior, and heavy tail phenomena of the new model, and variable-order fractional derivative model are also offered.en
dc.publisherUniverzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
dc.relationNational Science Foundation of China [11572112, 11528205]
dc.relationSerbia-China bilateral project [3-12
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceThermal Science
dc.subjectvariable-order fractal derivativeen
dc.subjectstretced Gaussian distributionen
dc.subjectporosity-gradienten
dc.subjectanomalous diffusionen
dc.titleA variable-order fractal derivative model for anomalous diffusionen
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage59
dc.citation.issue1
dc.citation.other21(1): 51-59
dc.citation.rankM22
dc.citation.spage51
dc.citation.volume21
dc.identifier.doi10.2298/TSCI160415244L
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1294/2555.pdf
dc.identifier.scopus2-s2.0-85015698419
dc.identifier.wos000396378300007
dc.type.versionpublishedVersion


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