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dc.contributor.authorDu, Tao
dc.contributor.authorWu, Kui
dc.contributor.authorSpielberg, Andrew
dc.contributor.authorMatusik, Wojciech
dc.contributor.authorZhu, Bo
dc.contributor.authorSifakis, Eftychios
dc.date.accessioned2021-10-27T19:57:35Z
dc.date.available2021-10-27T19:57:35Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134003
dc.description.abstract© 2020 Owner/Author. We present a method for performance-driven optimization of fluidic devices. In our approach, engineers provide a high-level specification of a device using parametric surfaces for the fluid-solid boundaries. They also specify desired flow properties for inlets and outlets of the device. Our computational approach optimizes the boundary of the fluidic device such that its steady-state flow matches desired flow at outlets. In order to deal with computational challenges of this task, we propose an efficient, differentiable Stokes flow solver. Our solver provides explicit access to gradients of performance metrics with respect to the parametric boundary representation. This key feature allows us to couple the solver with efficient gradient-based optimization methods. We demonstrate the efficacy of this approach on designs of five complex 3D fluidic systems. Our approach makes an important step towards practical computational design tools for high-performance fluidic devices.
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.isversionof10.1145/3414685.3417795
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceACM
dc.titleFunctional optimization of fluidic devices with differentiable stokes flow
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalACM Transactions on Graphics
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-01-29T19:50:39Z
dspace.orderedauthorsDu, T; Wu, K; Spielberg, A; Matusik, W; Zhu, B; Sifakis, E
dspace.date.submission2021-01-29T19:50:59Z
mit.journal.volume39
mit.journal.issue6
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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