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.
AIM 2024 will include the following specific technical topics:
- AI Application to Non-Destructive Evaluation (NDE & Data)
- Bridging Length Scales (From Laboratory to Manufacturing)
- Data Management: Curation, Collection, and Verification
- High-Throughput Synthesis & Characterization
- Image Processing
- Large Language Models (LLMs) for Materials
- Machine Learning Algorithm Development for Materials Science
- Machine Learning/Deep Learning applied to Manufacturing Process Optimization
- Machine Learning/Deep Learning applied to Discovery of Materials
- Robotics & Automation
Invited Speakers
Bjorn Bachmann, Saarland University
James Chapman, Boston University
Mathew Cherukara, Argonne National Laboratory
Saaketh Desai, Sandia National Laboratories
Brian Giera, Lawrence Livermore National Laboratory
Joseph Indeck, Boeing Research & Technology
Deepak Kumar, University of Southampton
Vivek Oommen, Brown University
Andreas Robertson, Georgia Institute of Technology
Yung Shin, Purdue University
S. Mohadeseh Taheri-Mousavi, Carnegie Mellon University
Achim Tappe, Fehrmann MaterialsX
Giancarlo Trimarchi, Thermo-Cal Software Ab
Abstract Submissions
Abstract submissions are now closed.
If you have any questions regarding abstract submissions or are interested in still submitting an abstract, send an e-mail to TMS Programming Staff.
For More Information
For more information about this meeting, please complete the meeting inquiry form or contact:
TMS Meeting Services
5700 Corporate Drive Suite 750
Pittsburgh, PA 15237
Telephone:
U.S. and Canada Only: 1-800-759-4867
Other Countries: 1-724-776-9000, ext. 241
Fax: 1-724-776-3770