Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146953
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dc.contributor.authorTuchman, Yaakoven_US
dc.contributor.authorMangoma, Tanyaradzwa N.en_US
dc.contributor.authorGkoupidenis, Paschalisen_US
dc.contributor.authorvan de Burgt, Yoerien_US
dc.contributor.authorJohn, Rohit Abrahamen_US
dc.contributor.authorMathews, Nripanen_US
dc.contributor.authorShaheen, Sean E.en_US
dc.contributor.authorDaly, Ronanen_US
dc.contributor.authorMalliaras, George G.en_US
dc.contributor.authorSalleo, Albertoen_US
dc.date.accessioned2021-03-15T08:05:04Z-
dc.date.available2021-03-15T08:05:04Z-
dc.date.issued2020-
dc.identifier.citationTuchman, Y., Mangoma, T. N., Gkoupidenis, P., van de Burgt, Y., John, R. A., Mathews, N., Shaheen, S. E., Daly, R., Malliaras, G. G. & Salleo, A. (2020). Organic neuromorphic devices : past, present, and future challenges. MRS Bulletin, 45(8), 619-630. https://dx.doi.org/10.1557/mrs.2020.196en_US
dc.identifier.issn0883-7694en_US
dc.identifier.urihttps://hdl.handle.net/10356/146953-
dc.description.abstractThe main goal of the field of neuromorphic computing is to build machines that emulate aspects of the brain in its ability to perform complex tasks in parallel and with great energy efficiency. Thanks to new computing architectures, these machines could revolutionize high-performance computing and find applications to perform local, low-energy computing for sensors and robots. The use of organic and soft materials in neuromorphic computing is appealing in many respects, for instance, because it allows better integration with living matter to seamlessly meld sensing with signal processing, and ultimately, stimulation in a closed-feedback loop. Indeed, not only can the mechanical properties of organic materials match those of tissue, but also, the working mechanisms of these devices involving ions, in addition to electrons, are compatible with human physiology. Another advantage of organic materials is the potential to introduce novel fabrication techniques relying on additive manufacturing amenable to one-of-a-kind form factors. This field is still nascent, therefore many concepts are still being proposed, without a clear winner. Furthermore, the field of application of organic neuromorphics, where bioinspiration and biointegration are extremely appealing, calls for a co-design approach from materials to systems.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relationMOE2018-T2-2-083en_US
dc.relation.ispartofMRS Bulletinen_US
dc.rights© 2020 Materials Research Society. All rights reserved. This paper was published in MRS Bulletin and is made available with permission of Materials Research Society.en_US
dc.subjectEngineering::Materialsen_US
dc.titleOrganic neuromorphic devices : past, present, and future challengesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Materials Science and Engineeringen_US
dc.identifier.doi10.1557/mrs.2020.196-
dc.description.versionPublished versionen_US
dc.identifier.issue8en_US
dc.identifier.volume45en_US
dc.identifier.spage619en_US
dc.identifier.epage630en_US
dc.subject.keywordsNeuromorphicen_US
dc.subject.keywordsOrganicen_US
dc.description.acknowledgementT.N.M., R.D., and G.G.M. acknowledge funding by the EPSRC and Centre for Doctoral Training in Ultra Precision Engineering. Y.v.d.B. acknowledges funding from the European Union’s Horizon 2020 Research and Innovation Programme, Grant Agreement No. 802615. A.S. and Y.T. acknowledge funding from the National Science Foundation and the SRC, E2CDA Program Award No. 1739795. R.A.J. and N.M. would like to acknowledge the funding from MOE Tier 2 Grant No. MOE2018-T2-2-083. S.E.S. acknowledges funding from the University of Colorado Boulder Research Innovation Office Seed Grant Program.en_US
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