Artificial Intelligence and Machine Learning for Materials: Panel at IMAT 2024

Abstract This article describes highlights from a panel held at IMAT 2024. Representatives from industry, government, and academia discussed the potential that artificial intelligence and machine learning offer the materials science and manufacturing communities. David Furrer, Pratt & Whitney, moderated the panel. The panelists were Seth Kimble, ASM International; Joshua Stuckner, NASA Glenn Research Center; James E. Saal, Citrine Informatics; and S. Mohadeseh Taheri-Mousavi, Carnegie Mellon University. Each panelist provided their perspective on how AI and ML are impacting current and future materials design and manufacturing processes.

Publication Details

Journal
AM&P Technical Articles
Published
2024-11-01
DOI
https://doi.org/10.31399/asm.amp.2024-08.p030
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Machine Learning for Materials: Panel at IMAT 2024

AM&P Technical Articles
Machine Learning in Materials Science
article

Artificial Intelligence and Machine Learning for Materials: Panel at IMAT 2024

article en

Abstract

Abstract This article describes highlights from a panel held at IMAT 2024. Representatives from industry, government, and academia discussed the potential that artificial intelligence and machine learning offer the materials science and manufacturing communities. David Furrer, Pratt & Whitney, moderated the panel. The panelists were Seth Kimble, ASM International; Joshua Stuckner, NASA Glenn Research Center; James E. Saal, Citrine Informatics; and S. Mohadeseh Taheri-Mousavi, Carnegie Mellon University. Each panelist provided their perspective on how AI and ML are impacting current and future materials design and manufacturing processes.

AM&P Technical ArticlesVol. 182(8)
Openalex Percentile: Top 83%
Machine Learning in Materials Science
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