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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

发表年份
2023
引用次数
9
访问权限
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摘要

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.

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ExecutableDrop (telecommunication)Computer scienceOpticsMaterials sciencePhysicsProgramming language

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