Machine Learning for Microstructural Data

When:  Oct 21, 2020 from 12:00 PM to 1:30 PM (ET)
Associated with  ASM Online Member Community

Presented jointly by Materials Research Society and ASM International

Speakers:

Sean Donegan

Air Force Research Laboratory
Talk: Relating Microstructure
Features to Response Using Convolutional Neural Networks

Olga Wodo

University at Buffalo
Talk: Microstructure Informatics: Expanding Descriptors
from Molecular to Microstructural Level

Ryan Noraas 

Pratt & Whitney
Talk: Application of Machine Learning to Microstructure Quantification and Understanding
@Ryan Noraas

Elizabeth A. Holm

Carnegie Mellon University
@Elizabeth Holm

OVERVIEW
Machine 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

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Location

Online Instructions:
Url: http://mrs.digitellinc.com/mrs/live/679/page/3154
Login: Registration required.