Stochastic optimization application in molecular electronics

Simple item page
dc.contributor.advisorTour, James M.
dc.contributor.advisorSymes, William W.
dc.creatorHusband, Christopher P.
dc.date.accessioned2009-06-04T08:41:23Z
dc.date.available2009-06-04T08:41:23Z
dc.date.issued2004
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.
dc.format.extent119 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS MATH.SCI. 2004 HUSBAND
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>.
dc.identifier.urihttps://hdl.handle.net/1911/18645
dc.language.isoeng
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.
dc.subjectMathematics
dc.subjectChemistry
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleStochastic optimization application in molecular electronics
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMathematical Sciences
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
3122486.PDF
Size:
3.43 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations