Machine Learning for Microstructural DataWednesday, October 21 | 12:00-1:30 p.m. (ET U.S. and Canada)If you haven't already, it's not too late to register
Presented jointly by Materials Research Society and ASM International
Air Force Research LaboratoryTalk: Relating MicrostructureFeatures to Response Using Convolutional Neural Networks
University at BuffaloTalk: Microstructure Informatics: Expanding Descriptorsfrom Molecular to Microstructural Level
Ryan Noraas @Ryan Noraas
Pratt & WhitneyTalk: Application of Machine Learning to Microstructure Quantification and Understanding
Elizabeth A. Holm @Elizabeth Holm
Carnegie Mellon University
OVERVIEWMachine learning and artificial intelligence are revolutionizing the analysis and characterization of microstructural images, data, and information in materials science and engineering. Machine learning models are increasingly being used to understand and interpret microstructures, including quantitatively, thereby leveraging predictions of materials properties in the structure-property-processing paradigm.In this webinar, we will discuss and explore how machine learning has become a valuable tool in the management of microstructural data. This webinar will include talks from leading experts in the field from industry, academia, and government. Each talk will be followed by a Q&A session with the speaker.
Invite a colleague and join us! The webinar is free but advance registration is required
George F. Vander Voort
Vander Voort Consulting LLC
http://www.georgevandervoort.com/" style="margin: 0px">www.georgevandervoort.com
ASM International is the world's largest association of materials-centric engineers and scientists. We are dedicated to informing, educating, and connecting the materials community to solve problems and stimulate innovation around the world.
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