TMS Annual Meeting
Dr Gareth Conduit of the University of Cambridge and Intellegens is speaking at the TMS Conference.
Presentation title: The modern-day blacksmith
Talk timing: 22 March, 2-2.30pm
Talk location: Hilton Bayfront Hotel – Sapphire Level, Ballroom L
We present a machine learning tool, Alchemite, that merges all possible sources of information about a material: simulations, physical laws, and experimental data. Starting from a database of CALPHAD predictions we train a machine learning model that can understand phase behavior, and use this model as an input to predict other material properties. We illustrate the approach with a case study that starts from a training set comprising just ten core results for alloy direct laser deposition, and use Alchemite to augment these with phase behavior & complementary material properties. We ask the model to design the composition and processing parameters of a nickel-base alloy for direct laser deposition, whose properties are then experimentally verified.
 “Probabilistic neural network 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)