Fig. 1: The workflow concept. | Nature Communications

Fig. 1: The workflow concept.

From: Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization

Fig. 1

a Starting from the top right and moving clockwise, the sequence initiates with machine learning models recommending sample library compositions, followed by automated pellet creation via the solid-state reaction (SSR) method, synthesizability validation (e.g., XRD), temperature tuning, real-time dielectric property measurements, and analysis linking dielectric attributes to the synthesis process. The cycle concludes with the updating of archives and the generation of AI-driven predictions for comprehensive cycle management and decision-making. b The SSR workflow encompasses five key steps, expedited by the integration of scientific expertise and AI-enhanced decision-making. c The experimental loop validates the initial machine learning predictions.

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