Tom, G. et al. Self-driving laboratories for chemistry and supplies science. Chem. Rev. 124, 9633–9732 https://doi.org/10.1021/acs.chemrev.4c00055 (2024).
Burger, B. et al. A cellular robotic chemist. Nature 583, 237–241 https://doi.org/10.1038/s41586-020-2442-2 (2020).
MacLeod, B. P. et al. Self-driving laboratory for accelerated discovery of thin-film supplies. Sci. Adv. 6, eaaz8867 https://doi.org/10.1126/sciadv.aaz8867 (2020).
Sadeghi, S. et al. A self-driving fluidic lab for data-driven synthesis of lead-free perovskite nanocrystals. Digit. Discov. 4, 1722–1733 https://doi.org/10.1039/D5DD00062A (2025).
Zeni, C. et al. A generative mannequin for inorganic supplies design. Nature https://doi.org/10.1038/s41586-025-08628-5 (2025).
Sedano Varo, E. et al. Gold nanoparticles for CO2 electroreduction: an optimum outlined by dimension and form. J. Am. Chem. Soc. 146, 2015–2023 https://doi.org/10.1021/jacs.3c10610 (2024).
Liang, C. et al. Unravelling the consequences of lively web site density and energetics on the water oxidation exercise of iridium oxides. Nat. Catal. 7, 763–775 https://doi.org/10.1038/s41929-024-01168-7 (2024).
Famprikis, T., Canepa, P., Dawson, J. A., Islam, M. S. & Masquelier, C. Fundamentals of inorganic solid-state electrolytes for batteries. Nat. Mater. 18, 1278–1291 https://doi.org/10.1038/s41563-019-0431-3 (2019).
Anker, A. S. et al. Autonomous synthesis of nanoparticles with goal scattering patterns. ACS Nano 20, 6767–6782 https://doi.org/10.1021/acsnano.5c15488 (2026).
Anker, A. S., Gardner, J. L. A., Rosset, L. A. M., Goodwin, A. L. & Deringer, V. L. Autonomous interpretation of atomistic scattering knowledge. Preprint at https://doi.org/10.48550/arXiv.2510.05938 (2025).