Machine learning for materials design
With example projects from NASA Glenn Research Center
Not yet registered? Register below.
Registered via LinkedIn? Look out for emails with the joining details. Reminders will be sent 1 day and 1 hour before the event.
Guest Speaker: Dr Josh Stuckner, NASA Glenn Research Center
Software demonstration: Dr Tom Whitehead, Intellegens
Date/time: Tuesday 21st September, 4pm UK time // 11am US Eastern
Find out about the Alchemite™ deep learning software for materials design, including a case study presentation from our guest speaker, Dr Josh Stuckner, Materials Informatics Scientist at NASA Glenn Research Center. Development organisations need to design new and improved materials and to wring every drop of performance from existing systems. To do this, they want to learn from all available data in order to optimise properties while minimising the amount of expensive testing and simulation required to generate results. Machine learning can support these objectives but often runs into practical problems, because the available data is sparse and noisy, because methods are time-consuming to set up and run, or because scientists are unsure how much confidence to place in results.
In this webinar, we’ll introduce and demonstrate Alchemite™ – a novel method that solves these problems. And we’ll hear about a project to test and validate Alchemite™ at NASA Glenn Research Center.