April 2018: Dr Kevin Laws “Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments”
"Artificial intelligence accelerates discovery of new metallic glasses - 200 times faster than previously possible"
By F. Ren, L Ward, T Williams, K Laws, C Wolverton, J Hattrick-Simpers and A Mehta.
With over a hundred elements in the periodic table, a large number of potential materials exist to address the technological and societal challenges we face today; however, without specific guidance, searching this vast space is tediously slow and expensive. In this manuscript, we train a machine learning model on previously reported observations and physiochemical theories combined with high-throughput experiments to pinpoint new alloy systems capable of producing amorphous alloys.
Read the full paper, as published in Science Advances (Volume 4, Number 4, Article Number eaaq1566).