A Self-Driving Laboratory Optimizes a Scalable Process for Making Functional Coatings

Abstract

Solution-based coating methods offer low-cost routes to deposit coatings at scale. It is difficult, however, to obtain high quality coatings using these methods due to the complex and dynamic physical and chemical processes involved. Here, we show how a self-driving laboratory can optimize spray-coating, which is relevant to manufacturing a range of clean energy technologies. For this demonstration, we optimized the combustion synthesis of spray-cast conductive palladium films. The closed-loop optimization of this synthesis yielded films with conductivities of >4 MS/m, which compares favorably with the conductivities of 2-6 MS/m reported for thin Pd films obtained by vacuum-based sputtering processes. The champion coating conditions were scaled up to an 8× larger area using the same spray-coating apparatus with no further optimization and no reduction in coating quality or conductivity. This work shows how self-driving laboratories can optimize a scalable process for making functional coatings.

Cite

Text

Rupnow et al. "A Self-Driving Laboratory Optimizes a Scalable Process for Making Functional Coatings." NeurIPS 2022 Workshops: AI4Mat, 2022.

Markdown

[Rupnow et al. "A Self-Driving Laboratory Optimizes a Scalable Process for Making Functional Coatings." NeurIPS 2022 Workshops: AI4Mat, 2022.](https://mlanthology.org/neuripsw/2022/rupnow2022neuripsw-selfdriving/)

BibTeX

@inproceedings{rupnow2022neuripsw-selfdriving,
  title     = {{A Self-Driving Laboratory Optimizes a Scalable Process for Making Functional Coatings}},
  author    = {Rupnow, Connor and MacLeod, Benjamin Patrick and Mokhtari, Mehrdad and Ocean, Karry and Dettelbach, Kevan E. and Lin, Daniel and Parlane, Fraser Glynn Lintel and Chiu, Hsi N. and Rooney, Michael B. and Waizenegger, Christopher and de Hoog, Elija and Berlinguette, Curtis P.},
  booktitle = {NeurIPS 2022 Workshops: AI4Mat},
  year      = {2022},
  url       = {https://mlanthology.org/neuripsw/2022/rupnow2022neuripsw-selfdriving/}
}