Robotic pendant drop: containerless liquid for μs-resolved, AI-executable XPCS
Doga Ozgulbas, Don Jensen, Rory Butler, Rafael Vescovi, Ian Foster, Michael Irvin, Yasukazu Nakaye, Miaoqi Chu, Eric M. Đufresne, Söenke Seifert, G. Babnigg, Arvind Ramanathan, Qingteng Zhang
- Year
- 2023
- Citations
- 9
- Access
- Open access
Abstract
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 –10 3 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.
Keywords
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