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Cited 13 time in webofscience Cited 0 time in scopus
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dc.contributor.authorShield, C. W.-
dc.contributor.authorKIM, YOUNGKI-
dc.contributor.authorHan, K.-
dc.contributor.authorMurphy, A. C.-
dc.contributor.authorScott, A. J.-
dc.contributor.authorAbbott, N. L.-
dc.contributor.authorVelev, O. D.-
dc.date.accessioned2020-02-25T11:50:07Z-
dc.date.available2020-02-25T11:50:07Z-
dc.date.created2019-12-11-
dc.date.issued2020-02-
dc.identifier.issn2640-4567-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/101104-
dc.description.abstractReconfigurable microdevices are being explored in a range of contexts where their life‐like abilities to move and change shape are important. While much work has been done to control the motion of these microdevices by engineering their geometry and composition, little is known about their dynamics in complex fluid environments with non‐Newtonian rheology. Here, we show how the actuation dynamics of reconfigurable microdevices made by assembly of patchy magnetic microcubes, which we refer to as “microbots”, can be modulated by their interactions with the anisotropic viscoelastic environment of a liquid crystal (LC). We show that the free energy arising from the elastic strain of LC and formation of topological defects around the microbots influences their folding dynamics, which can be tuned by tailoring both the far‐field orientation of the LC and the local ordering of the LC at the microbot surfaces. These findings represent a first step towards establishing a general set of design rules to control the dynamics of microbots using complex anisotropic fluids.-
dc.languageEnglish-
dc.publisherWiley-
dc.relation.isPartOfAdvanced Intelligent Systems-
dc.titleControl of the Folding Dynamics of Self‐Reconfiguring Magnetic Microbots Using Liquid Crystallinity-
dc.typeArticle-
dc.identifier.doi10.1002/aisy.201900114-
dc.type.rimsART-
dc.identifier.bibliographicCitationAdvanced Intelligent Systems, v.2, no.2, pp.1900114-
dc.identifier.wosid000669750900003-
dc.citation.number2-
dc.citation.startPage1900114-
dc.citation.titleAdvanced Intelligent Systems-
dc.citation.volume2-
dc.contributor.affiliatedAuthorKIM, YOUNGKI-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.type.docTypeArticle-
dc.subject.keywordPlusTOPOLOGICAL DEFECTS-
dc.subject.keywordPlusNEMATIC PHASE-
dc.subject.keywordPlusSURFACE-
dc.subject.keywordPlusVISCOSITY-
dc.subject.keywordPlusDRAG-
dc.subject.keywordPlusCOEFFICIENTS-
dc.subject.keywordPlusORIENTATION-
dc.subject.keywordPlusALIGNMENT-
dc.subject.keywordPlusCOLLOIDS-
dc.subject.keywordAuthorreconfigurable assemblies-
dc.subject.keywordAuthoractive particles-
dc.subject.keywordAuthorliquid crystals-
dc.subject.keywordAuthormicrobots-
dc.subject.keywordAuthormicromachines-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.description.journalRegisteredClassscie-

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