Inverse estimation of surface temperature in nanoscale using the artificial neural network

Bup Sung Jung, Sun K. Kim, Woo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An inverse heat conduction problem (IHCP) for nanoscale structures was studied. The conduction phenomenon is modeled using the Boltzmann transfer equation. Phonon-mediated heat conduction in one dimension is considered. One boundary, where temperature observation takes place, is subjected to a known boundary condition and the other boundary is exposed to an unknown temperature. The artificial neural network (ANN) is employed to solve the described inverse problem. Sample results are presented and discussed.

Original languageEnglish
Title of host publicationProceedings of the ASME Summer Heat Transfer Conference, HT 2005
Pages403-410
Number of pages8
DOIs
StatePublished - 2005
Event2005 ASME Summer Heat Transfer Conference, HT 2005 - San Francisco, CA, United States
Duration: 17 Jul 200522 Jul 2005

Publication series

NameProceedings of the ASME Summer Heat Transfer Conference
Volume1

Conference

Conference2005 ASME Summer Heat Transfer Conference, HT 2005
Country/TerritoryUnited States
CitySan Francisco, CA
Period17/07/0522/07/05

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