In this work, we demonstrate how interdisciplinary knowledge can provide solutions to elusive challenges and advance science. As an example, we used the application of the THW in the measurement of the thermal conductivity of solids. To obtain a solution of the equations by FEM, about 10 h were required. By employing tools from the field of machine learning and computer science like a) automating the manual pipeline using a custom framework, b) using efficiently, Bayesian Optimisation to estimate the optimal thermal properties value, and c) applying further task specific optimisations, this time was reduced to 3 min, which is acceptable, and thus the technique can be easier used.
REFERENCES
1.
M.
Tomizuka
, Control Eng. Pract.
10
, 877
(2002
).2.
M.J.
Assael
, K.D.
Antoniadis
, W.A.
Wakeham
, Int. J. Thermophys.
31
, 1051
(2010
).3.
J.
Priestley
, Experiments and Observations Relating to Various Branches of Natural Philosophy; with a Continuation of the Observations on Air
. Vol. II
, (Pearson and Rollason
, London
, 1781
).4.
J.
Leslie
, An Experimental Inquiry into the Nature and Propagation of Heat
, (J. Mawman
, Edinburgh
, 1804
).5.
W.R.
Grove
, J. Franklin Institute
46
, 358
(1848
).6.
J.
Tyndall
, Heat Considered as a Mode of Motion: Being a Course of Twelve Lectures Delivered at the Royal Institution of Great Britain in the Season of 1862, (Longman, Green, Longman, Roberts, & Green, London
, 1863
), p 239
.7.
8.
9.
A.
Schleiermacher
, Annalen der Physik und Chemie
270
, 623
(1888
).10.
11.
J.K.
Horrocks
, E.
McLaughlin
, Proc. Roy. Soc. A
273
, 259
(1963
).12.
13.
J.W.
Haarman
, Physica
52
, 605
(1971
).14.
J.J.
Healy
, J.J.
de Groot
, J.
Kestin
, Physica C
82
, 392
(1976
).15.
M.J.
Assael
, K.
Gialou
, Int. J. Thermophys.
24
, 667
(2003
).16.
M.J.
Assael
, K.D.
Antoniadis
, K.E.
Kakosimos
, Int. J. Thermophys.
29
, 445
(2008
).17.
M.J.
Assael
, K.D.
Antoniadis
, I.N.
Metaxa
, S.K.
Mylona
, J.-A.M.
Assael
, J.
Wu
, M.
Hu
, Int. J. Thermophys.
36
, 3083
(2015
).18.
C.
Geuzaine
, J.-F.
Remacle
, Int. J. Num. Meth. Engin.
79
, 1309
(2009
).19.
S.
Rebay
, J. Comp. Phys.
106
, 125
(1993
).20.
J.E.
Guyer
, D.
Wheeler
, J.A.
Warren
, Comput. Sci. Eng.
11
, 6
(2009
).21.
J.
Snoek
, K.
Swersky
, R.
Zemel
, R.P.
Adams
, In NIPS Workshop on Bayesian Optimization in Theory and Practice
, (Lake Tahoe
, Sierra Nevada, USA
, 2013
).22.
23.
E.
Brochu
, V.M.
Cora
, N.
de Freitas
, A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
(Dept. of Computer Science, University of British Columbia
, UBC TR-2009-23, 2009
).24.
J.-A.M.
Assael
, Z.
Wang
, N.
de Freitas
, Heteroscedastic Treed Bayesian Optimisation in NIPS Workshop on Bayesian Optimisation
, (Montreal
, Canada
, 2014
).
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