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

Author

Listed:
  • Mojan Omidvar

    (Queen Mary University of London)

  • Hangfeng Zhang

    (Queen Mary University of London)

  • Achintha Avin Ihalage

    (Queen Mary University of London)

  • Theo Graves Saunders

    (Queen Mary University of London)

  • Henry Giddens

    (Queen Mary University of London)

  • Michael Forrester

    (Cody Technology Park)

  • Sajad Haq

    (Cody Technology Park)

  • Yang Hao

    (Queen Mary University of London)

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 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 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.

Suggested Citation

  • Mojan Omidvar & Hangfeng Zhang & Achintha Avin Ihalage & Theo Graves Saunders & Henry Giddens & Michael Forrester & Sajad Haq & Yang Hao, 2024. "Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50884-y
    DOI: 10.1038/s41467-024-50884-y
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    References listed on IDEAS

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