TY - GEN
T1 - Inverse estimation of surface temperature in nanoscale using the artificial neural network
AU - Jung, Bup Sung
AU - Kim, Sun K.
AU - Lee, Woo
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/29744441946
U2 - 10.1115/HT2005-72384
DO - 10.1115/HT2005-72384
M3 - Conference contribution
AN - SCOPUS:29744441946
SN - 0791847314
SN - 9780791847312
T3 - Proceedings of the ASME Summer Heat Transfer Conference
SP - 403
EP - 410
BT - Proceedings of the ASME Summer Heat Transfer Conference, HT 2005
T2 - 2005 ASME Summer Heat Transfer Conference, HT 2005
Y2 - 17 July 2005 through 22 July 2005
ER -