| About this Symposium |
| Meeting |
TMS Specialty Congress 2024
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| Symposium
|
2nd World Congress on Artificial Intelligence in Materials & Manufacturing (AIM 2024)
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| Organizer(s) |
Adam E. Kopper, Mercury Marine
Taylor D. Sparks, University of Utah
Elsa Olivetti, Massachusetts Institute of Technology
Adrian S. Sabau, Oak Ridge National Laboratory
Remi Dingreville, Sandia National Laboratories
Thilo Muth, Bundesanstalt für Materialforschung und -prüfung (BAM)
Roger H. French, Case Western Reserve University
Pawan Kumar Tripathi, Case Western Reserve University |
| Scope |
The TMS World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2024) is the second event of its kind to focus on the role of artificial intelligence (AI) in materials science and engineering and related manufacturing processes. AIM 2024 will convene stakeholders from academia, industry, and government to address key issues and future pathways.
Abstracts are requested on AI topics related to materials science and engineering and manufacturing processes, including:
-AI Application to Non Destructive Evaluation (NDE + Data)
-Bridging Length Scales (From Laboratory to Manufacturing)
-Data Management: Curation, Collection, & Verification
-High-Throughput Synthesis & Characterization
-Image Processing
-LLMs for Materials (Large Language Models)
-Machine Learning Algorithm Development for Materials Science
-Machine Learning/Deep Learning applied to Manufacturing Process Optimization
-Machine Learning/Deep Learning applied to the Discovery of Materials
-Robotics & Automation |
| Abstracts Due |
10/30/2023 |
| Proceedings Plan |
Definite: Other |