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dc.contributor.authorMcIntyre, Daviden_US
dc.contributor.authorLashkaripour, Alien_US
dc.contributor.authorDensmore, Douglasen_US
dc.coverage.spatialOnlineen_US
dc.date2020-07-13
dc.date.accessioned2020-08-04T14:08:16Z
dc.date.available2020-08-04T14:08:16Z
dc.date.issued2020-08-03
dc.identifierhttps://www.iwbdaconf.org/2020/docs/IWBDA2020Proceedings.pdf
dc.identifier.citationDavid McIntyre, Ali Lashkaripour, Douglas Densmore. 2020. "Active Learning for Efficient Microfluidic Design Automation." https://www.iwbdaconf.org/2020/docs/IWBDA2020Proceedings.pdf. 12th International Workshop on Bio-Design Automation (IWBDA-2020). Online, 2020-08-03 - 2020-08-05.
dc.identifier.urihttps://hdl.handle.net/2144/41356
dc.description.abstractDroplet microfluidics has the potential to eliminate the testing bottleneck in synthetic biology by screening biological samples encapsulated in water-in-oil emulsions at unprecedented throughput. Sophisticated screens require functional and complex devices that perform exactly as designed. Effective performance characterization and predictive design of droplet microfluidic components has been hampered due to low-throughput and expensive fabrication with standard soft lithography techniques. This has limited droplet microfluidics to proof-of-concept devices. Even when some of these barriers are removed through rapid prototyping, developing a robust dataset to effectively represent all parameters as a "lookup table" is near impossible.en_US
dc.language.isoen_US
dc.publisherIWBDAen_US
dc.relation.ispartofhttps://www.iwbdaconf.org/2020/docs/IWBDA2020Proceedings.pdf
dc.rightsAttribution-NonCommercial 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectMicrofluidicsen_US
dc.subjectDesign automationen_US
dc.subjectMachine learningen_US
dc.titleActive learning for efficient microfluidic design automationen_US
dc.typeConference materialsen_US
dc.description.versionPublished versionen_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: No embargoen_US
pubs.notesHi this work is published in the proceeding of IWBDA 2020. Previously I submitted our IWBDA publications through Open BU. I hope I did everything correctly through My CV.en_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, Administrationen_US
pubs.publication-statusPublished onlineen_US
dc.identifier.orcid0000-0002-1734-9634 (Lashkaripour, Ali)
dc.identifier.mycv564785


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Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International