The Workshop for AI-Powered Materials Discovery at the Great Plains will cover the
following key topic areas:
- AI-Driven Platforms and Digital Twins for Material Discovery and Manufacturing
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Challenges and Strategies in AI-Powered Materials Research and FAIR Data Practices
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Physics-Informed Machine Learning and Quantum Computing for Advanced Material Design
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AI Applications in Healthcare, Clean Energy, and Semiconductor Materials
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Educational Outreach, AI-Oriented Training, and Collaboration in Materials Science
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The Role of LLMs, Scientific ML, and Data-Driven Approaches in Materials Innovation
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Automation in AI-Driven Laboratories and Material Discovery
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Future Directions in AI for Particle Physics, Nuclear Physics, and Materials Science
These topics aim to explore the intersection of AI, data science, and materials research
and education, addressing both theoretical and practical challenges.
