Sponsored by American Elements

FREE EVENT - REGISTER NOW

The Machine Learning Revolution in Materials Research

Date: September 24, 2019

Time: 12:00PM - 01:30PM

You must be registered to participate!

Machine learning (ML) and artificial intelligence (AI) are quickly becoming common-place in materials research. In addition to the standard workflow of fitting a model to a large set of data in order to make predictions, the materials community is finding novel and meaningful ways to integrate AI within their work. The July, 2019 issue of the MRS Bulletin highlighted a few of these applications.  The articles in the issue show that AI/ML is delivering real-world, practical solutions to materials problems, and we need AI/ML methods and models that are more fluent in materials science.

The talks in this webinar expanded on the material presented in the MRS Bulletin issue as well as the MRS Communications Special Issue on Artificial Intelligence.   An interactive Q&A session was held with the speakers following each talk.

TALK PRESENTATIONS:

  • Artificial Intelligence (AI) for Accelerating Materials Discovery
    Carla Gomes, Cornell University
  • Accelerating the Search for New Materials using Machine Learning and Adaptive Design
    Prasanna V. Balachandran, University of Virginia
  • Embedding Domain Knowledge for Machine Learning of Complex Material Systems
    Newell Washburn, Carnegie Mellon University
  • Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective
    Daniel Ruscitto and Kareem Aggour, GE Global Research

Sponsored by American Elements

custom image

Host(s):
Speaker(s):

Machine learning (ML) and artificial intelligence (AI) are quickly becoming common-place in materials research. In addition to the standard workflow of fitting a model to a large set of data in order to make predictions, the materials community is finding novel and meaningful ways to integrate AI within their work. The July, 2019 issue of the MRS Bulletin highlighted a few of these applications.  The articles in the issue show that AI/ML is delivering real-world, practical solutions to materials problems, and we need AI/ML methods and models that are more fluent in materials science.

The talks in this webinar will expand on the material presented in the MRS Bulletin issue as well as the MRS Communications Special Issue on Artificial Intelligence.   An interactive Q&A session will be held with the speakers following each talk.

TALK PRESENTATIONS:

  • Artificial Intelligence (AI) for Accelerating Materials Discovery
    Carla Gomes, Cornell University
  • Accelerating the Search for New Materials using Machine Learning and Adaptive Design
    Prasanna V. Balachandran, University of Virginia
  • Embedding Domain Knowledge for Machine Learning of Complex Material Systems
    Newell Washburn, Carnegie Mellon University
  • Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective
    Daniel Ruscitto and Kareem Aggour, GE Global Research

Sponsored by American Elements

custom image