A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I) <sub>3</sub> Perovskite Nanocrystals
Self-driving laboratories (SDLs) integrating automation and data-driven control are increasingly used in materials synthesis. Existing SDLs still face challenges in hardware integration and stable flow operation. Here, we report a modular fluidic-microwave SDL for the automated synthesis of perovskite nanocrystals (PNCs) with programmable thermal profiles and inline photoluminescence monitoring. Its constant-pressure fluidics and batch microwave design decouple reaction temperature from residence time, suppress flow pulsation, and yield reproducible low-noise data sets. Using CsPbX<sub>3</sub> (X = Cl, Br, I), the platform achieves relative standard deviations of 1.53% in fwhm, 0.06% in peak wavelength, and 1.85% in PL intensity across runs. Automated parameter screening identifies an optimal synthesis window (120-140 °C, 28 °C min<sup>-1</sup>, 120-180 s, Pb/Cs = 2-3) that produces phase-pure nanocrystals with narrow emission line widths (∼18-19 nm). This SDL provides a reproducible, programmable basis for closed-loop optimization and AI-guided nanomaterials synthesis.
Authors
- Kai Huang (ORCID: https://orcid.org/0000-0001-8693-2084)
- Joanna Xiuzhu Xu (ORCID: https://orcid.org/0000-0002-3859-0312)
- Guanqi Huang
- Jiaze Wu (ORCID: https://orcid.org/0000-0003-0932-1882)
- Mahyar Rajabi-Kochi
- Yixuan Chen
- Siyue Wang
- Seyed Mohamad Moosavi
Institutions
- University of Toronto (CA)
- Vector Institute (CA)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1021/acs.nanolett.5c05581
- Citations
- 1
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.73