Autonomous Research for Real-World Science Workshop

The Autonomous Research for Real-World Science (ARROWS) Workshop will bring together leading experts in materials science, chemistry, and autonomous experimentation to explore practical, real-world applications of autonomous research.

The workshop will explore key themes such as science drivers, domain-specific analytics, decision-making, and technical implementations, all while fostering new collaborations and groundbreaking research in autonomous systems.

Workshop Themes

Materials and Chemical Science Grand Challenges: This theme focuses on the pressing grand challenges in materials science and chemical research that can be addressed through autonomous experimentation. These challenges include accelerating the discovery of new materials, optimizing chemical reactions, and enhancing energy storage and conversion technologies.

Domain-Specific Analytics and Visualization: This theme highlights the crucial role of advanced data analytics and visualization techniques in autonomous experimentation. Real-time data processing, analytics, and innovative visualization methods can help researchers make faster, more accurate decisions in experimental workflows.

Autonomous Decision-Making: At the heart of autonomous research is the ability for systems to make intelligent, real-time decisions during experiments. This theme will explore the latest advancements in AI-guided decision-making, focusing on how these systems can improve the discovery power of experiments.

Real-World Technical Implementations: This theme addresses the practical, real-world applications of autonomous systems in research labs and industry. It will focus on current successes, challenges, and the scalability of autonomous technologies in materials science and chemical experimentation.

Speakers

Invited and confirmed speakers at the workshop will include:

• Sergei V. Kanlinin, University of Tennessee, Knoxville
• Ichiro Takeuchi, University of Maryland
• Vinayak Dravid, Northwestern University
• Shijing Sun, University of Washington
• Olexandr Isayev, Carnegie Mellon University
• Ayana Ghosh, Oak Ridge National Laboratory
• Santiago Miret, Intel Company
• Milad Abolhasani, North Carolina State University
• Matthew Olszta, Pacific Northwest National Laboratory
• Taro Hitsugi, University of Tokyo
• Rama Vasudevan, Oak Ridge National Laboratory
• Mary Scott, Lawrence Berkeley National Laboratory
• Ryan Comes, University of Delaware
• Dani Ushizima, Lawrence Berkeley National Laboratory.

Contact

If you have any questions about the workshop, please contact [email protected].