Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9993
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dc.contributor.advisorM, Danny Raj-
dc.contributor.authorNAIR, BALAGOPAL R-
dc.date.accessioned2025-05-19T09:08:41Z-
dc.date.available2025-05-19T09:08:41Z-
dc.date.issued2025-05-
dc.identifier.citation42en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9993-
dc.description.abstractMost collective systems in real life from animal herds, bird flocks and schools of fish to bacterial swarms, and cell migration are heterogenous in nature; they contain multiple types of individuals. These differences among the individuals can affect the emergent behaviour of the collective as a whole. There have been many techniques developed to infer the heterogeneity in these systems, but none of them deal with complex interactions between agents like that present in microscopic collectives. In these systems, long range hydrodynamic interactions have a considerable effect on the observed dynamics. By modelling a system that simulates a microscopic collective in a fluid medium and introducing heterogeneity into it, we can study the observed dynamics and their relation to the intrinsic properties.en_US
dc.language.isoenen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Physics::Other physics::Computational physicsen_US
dc.titleCharacterizing heterogeneity in microscopic collectivesen_US
dc.typeThesisen_US
dc.description.embargoOne Yearen_US
dc.type.degreeBS-MSen_US
dc.contributor.departmentDept. of Physicsen_US
dc.contributor.registration20201135en_US
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