Light: Science & Applications (Aug 2023)

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

  • Doga Yamac Ozgulbas,
  • Don Jensen,
  • Rory Butler,
  • Rafael Vescovi,
  • Ian T. Foster,
  • Michael Irvin,
  • Yasukazu Nakaye,
  • Miaoqi Chu,
  • Eric M. Dufresne,
  • Soenke Seifert,
  • Gyorgy Babnigg,
  • Arvind Ramanathan,
  • Qingteng Zhang

DOI
https://doi.org/10.1038/s41377-023-01233-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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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.