JUNE 13-15, 2022
WASHINGTON, DC
AI for Advanced Materials Design
Symposium Co-Chairs
Key Speakers
Designing Catalysts with Machine Learning
The Machine Learning Route to Accelerated Discovery and Inverse Design of Materials SystemsJohannes Hachmann
Associate Professor, University at Buffalo, SUNY
Topics & Application Areas
- AI, Modeling & Simulation for Materials Design
- Materials Informatics
- Machine Learning
- Autonomous Research Approaches
- Quantitative Structure Property Relationship (QSAR) Methods
- Data Science
- Other
Sponsor & Exhibitor Opportunities
Program Sectors
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2022 SBIR/STTR AGENCY PARTNERS
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