A community-curated list of resources related to self-driving labs which combine hardware automation and artificial intelligence to accelerate scientific discovery.
Added a research article by Chen et al. that reports on the use of a robotic inorganic materials synthesis laboratory to navigate high-dimensional phase diagrams for the efficient synthesis of complex materials. This study focuses on developing a thermodynamic strategy to select precursors that avoid low-energy competing by-products, maximizing reaction energy to drive fast phase transformation kinetics.
π§ͺ Synthesis: Robotic labto perform a large-scale experimental validation of precursor selection principles, demonstrating synthesis of quaternary oxides.
π¬ Characterization: The robotic system performs automated characterization of the reaction products, including phase purity assessment through X-ray diffraction.
ποΈ Sample transfer: The robotic lab automates transfer for precursor and prepared samples.
π» Experiment planning: Data-driven automated approach to experiment planning and execution.
Description
Added a research article by Chen et al. that reports on the use of a robotic inorganic materials synthesis laboratory to navigate high-dimensional phase diagrams for the efficient synthesis of complex materials. This study focuses on developing a thermodynamic strategy to select precursors that avoid low-energy competing by-products, maximizing reaction energy to drive fast phase transformation kinetics.
π§ͺ Synthesis: Robotic labto perform a large-scale experimental validation of precursor selection principles, demonstrating synthesis of quaternary oxides.
π¬ Characterization: The robotic system performs automated characterization of the reaction products, including phase purity assessment through X-ray diffraction.
ποΈ Sample transfer: The robotic lab automates transfer for precursor and prepared samples.
π» Experiment planning: Data-driven automated approach to experiment planning and execution.
Entry Added
π§ͺπ¬ποΈπ» | Navigating phase diagram complexity to guide robotic inorganic materials synthesis. Chen, J.; Cross, S. R.; Miara, L. J.; Cho, J.-J.; Wang, Y.; Sun, W. Nat. Synth 2024.