Stochastic optimization application in molecular electronics

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dc.contributor.advisorTour, James M.en_US
dc.contributor.advisorSymes, William W.en_US
dc.creatorHusband, Christopher P.en_US
dc.date.accessioned2009-06-04T08:41:23Zen_US
dc.date.available2009-06-04T08:41:23Zen_US
dc.date.issued2004en_US
dc.description.abstractMolecular electronics is an exciting emerging technology in today's science involving interesting and challenging projects in a variety of interdisciplinary fields. There are dozens of proposed molecular electronic designs each with their advantages and disadvantages. The nanocell is our lowest level device which we believe trumps the major disadvantage inherit in most, if not all, other designs, that of the nanoscale construction of devices. As miniaturization continues into the nanoscale regime, the financial cost and the difficulty of engineering techniques to decreasing size are expected to increase sharply. The nanocell alleviates this problem by allowing molecules to self-assemble into random networks. These molecules are capable of retaining different conductive states. The challenge then is to program or reconfigure the molecular states of the nanocell post-fabrication. In essence, the nanocell idea is to shift the burden from fabrication to post-fabrication reconfiguration. We present in this thesis a description, simulations, and an analysis of a class of algorithms, called stochastic gradient descent, that may be useful in the post-fabrication programming phase.en_US
dc.format.extent119 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS MATH.SCI. 2004 HUSBANDen_US
dc.identifier.citationHusband, Christopher P.. "Stochastic optimization application in molecular electronics." (2004) Diss., Rice University. <a href="https://hdl.handle.net/1911/18645">https://hdl.handle.net/1911/18645</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/18645en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectMathematicsen_US
dc.subjectChemistryen_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.titleStochastic optimization application in molecular electronicsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMathematical Sciencesen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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