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SUMMARY:The modern-day blacksmith -  Dr Gareth Conduit\, Theory of Condens
 ed Matter\, Physics\, Cambridge
DTSTART:20200228T140000Z
DTEND:20200228T150000Z
UID:TALK137515@talks.cam.ac.uk
CONTACT:Hilde Hambro
DESCRIPTION:We develop a novel deep learning tool\, Alchemite\, for materi
 als discovery. The approach merges together both experimental data and com
 puter simulations\, in particular learning property-property correlations\
 , to exploit all possible sources of information. The tool has been used t
 o design several materials that have been experimentally verified and pate
 nted. We present just one case study where we discover and characterize th
 e new nickel-base alloy for direct laser deposition most likely to simulta
 neously satisfy targets of processibility\, cost\, density\, phase stabili
 ty\, creep resistance\, oxidation\, and resistance to thermal stresses. Ex
 perimental testing confirms that the physical properties of the proposed a
 lloy exceed those of other commercially available Ni-base alloys for combu
 stor liner applications. The Alchemite machine learning algorithm is now b
 eing commercialized by startup Intellegens.\n\nProbabilistic neural networ
 k identification of an alloy for direct laser deposition B.D. Conduit\, T.
  Illston\, S. Baker\, D. Vadegadde Duggappa\, S. Harding\, H.J. Stone & G.
 J. Conduit Materials & Design 168\, 107644 (2019)\n\nProbabilistic design 
 of a molybdenum-base alloy using a neural network B.D. Conduit\, N.G. Jone
 s\, H.J. Stone & G.J. Conduit Scripta Materialia 146\, 82 (2018)\n\nMateri
 als data validation and imputation with an artificial neural network P.C. 
 Verpoort\, P. MacDonald & G.J. Conduit Computational Materials Science 147
 \, 176 (2018)\n\nDesign of a nickel-base superalloy using a neural network
  B.D. Conduit\, N.G. Jones\, H.J. Stone & G.J. Conduit Materials & Design 
 131\, 358 (2017)\n
LOCATION:Oatley Seminar Room\, Department of Engineering
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