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Robotic pendant drop: containerless liquid for µs-resolved, AI-executable XPCS
Engineering and TechnologyLight: Science & Applications

Robotic pendant drop: containerless liquid for µs-resolved, AI-executable XPCS

D. Y. Ozgulbas, D. J. Jr., et al.

This groundbreaking research by Doga Yamac Ozgulbas, Don Jensen Jr., Rory Butler, Rafael Vescovi, Ian T. Foster, Michael Irvin, Yasukazu Nakaye, Miaoqi Chu, Eric M. Dufresne, Soenke Seifert, Gyorgy Babnigg, Arvind Ramanathan, and Qingteng Zhang introduces a revolutionary autonomous technique for material discovery using small-angle X-ray photon correlation spectroscopy. Join us as they unveil an AI-driven solution that enhances fluid characterization and advances material design significantly!... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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