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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
Abstract
The dynamics and structure of mixed phases in a complex fluid can significantly impact its material properties, such as viscoelasticity. Small-angle X-ray Photon Correlation Spectroscopy (SA-XPCS) can probe the spontaneous spatial fluctuations of the mixed phases under various in situ environments over wide spatiotemporal ranges (10⁻⁶–10³ s / 10⁻¹⁰–10⁻⁶ m). Tailored material design, however, requires searching through a massive number of sample compositions and experimental parameters, which is beyond the bandwidth of the current coherent X-ray beamline. Using 3.7-µs-resolved XPCS synchronized with the clock frequency at the Advanced Photon Source, we demonstrated the consistency between the Brownian dynamics of ~100 nm diameter colloidal silica nanoparticles measured from an enclosed pendant drop and a sealed capillary. The electronic pipette can also be mounted on a robotic arm to access different stock solutions and create complex fluids with highly-repeatable and precisely controlled composition profiles. This closed-loop, AI-executable protocol is applicable to light scattering techniques regardless of the light wavelength and optical coherence, and is a first step towards high-throughput, autonomous material discovery.
Publisher
Light: Science & Applications
Published On
Jan 31, 2023
Authors
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, Qingteng Zhang
Tags
material discoveryautonomous systemssmall-angle X-ray photon correlation spectroscopyAI-executable protocolfluid characterizationrobotic systemshigh-throughput techniques
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