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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorDe, Suvranu
dc.contributorAnderson, Kurt S.
dc.contributorEmbrechts, Mark J.
dc.contributorKoratkar, Nikhil A.
dc.contributor.authorDeo, Dhanannjay
dc.date.accessioned2021-11-03T09:48:44Z
dc.date.available2021-11-03T09:48:44Z
dc.date.created2010-06-04T10:39:49Z
dc.date.issued2010-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2999
dc.descriptionMay 2010
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectMechanical engineering
dc.titleA physics driven neural networks-based simulation system (PhyNNeSS) and its application to local and remote surgery simulation
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid23028
dc.digitool.pid23029
dc.digitool.pid23031
dc.digitool.pid23030
dc.digitool.pid23032
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Mechanical, Aerospace, and Nuclear Engineering


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