Title: Depth profiling of thermally inhomogeneous materials by neural network recognition of photothermal time domain data
Authors: Glorieux, Christ
Voti, RL
Thoen, Jan
Bertolotti, M
Sibilia, C #
Issue Date: May-1999
Publisher: Amer inst physics
Series Title: Journal of Applied Physics vol:85 issue:10 pages:7059-7063
Abstract: Thermal conductivity depth profiles of thermally inhomogeneous materials are retrieved from the time dependence of the surface temperature after a flash illumination. A neural network method, which is trained to recognize the correlation between depth profiles and the surface temperature on the basis of many examples, is employed. Depth profiles retrieved from simulated noisy signals are shown and the average reconstruction errors are analyzed for different circumstances. (C) 1999 American Institute of Physics. [S0021-8979(99)07710-5].
ISSN: 0021-8979
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Soft Matter and Biophysics
# (joint) last author

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