Abstract
This five-day workshop consisted of a two-day school introducing machine learning techniques for materials science with a mixture of presentations and hands-on tutorials, followed by a three-day conference made up of invited presentations, contributed talks, a poster session and a number of panel discussions. The event drew participants from primarily chemistry, physics and computer science backgrounds, all with a focus on applying machine learning to materials discovery or understanding. Some of the invited talks were given by industrial participants, complementing the academic research presenting, and offering a different view. Coffee breaks and a conference dinner/poster session allowed plenty of time for networking amongst this diverse group.
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