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

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

Blog Article

Abstract Accelerating perovskite solid solution discovery and sustainable synthesis is crucial for addressing challenges in wireless communication and biosensors.However, the vast array of chemical compositions and their 1211 dependence on factors such as crystal structure, and sintering temperature require time-consuming manual processes.To overcome these constraints, we introduce an automated materials discovery approach encompassing machine learning (ML) assisted material screening, robotic synthesis, and high-throughput characterization.

Our proposed platform for rapid sintering and dielectric analysis streamlines the characterization of perovskites and the discovery of disordered materials.The setup has been successfully validated, demonstrating processing materials within minutes, in stark contrast to conventional procedures that can take hours C or days.Following setup validation with established samples, we showcase synthesizing single-phase solid solutions within the barium family, such as (BaxSr1-x)CeO3, identified through ML-guided chemistry.