Scholarlink

<p>The rapid discovery of advanced functional materials is critical for overcoming pressing global challenges in energy and sustainability. Despite recent progress in self-driving laboratories and materials acceleration platforms, their capacity to explore complex parameter spaces is hampered by low data throughput. Here we introduce dynamic flow experiments as a data intensification strategy for inorganic materials syntheses within self-driving fluidic laboratories by the continuous mapping of transient reaction conditions to steady-state equivalents. Applied to CdSe colloidal quantum dots, as a testbed, dynamic flow experiments yield at least an order-of-magnitude improvement in data acquisition efficiency and reducing both time and chemical consumption compared to state-of-the-art self-driving fluidic laboratories. By integrating real-time, in situ characterization with microfluidic principles and autonomous experimentation, a dynamic flow experiment fundamentally redefines data utilization in self-driving fluidic laboratories, accelerating the discovery and optimization of emerging materials and creating a sustainable foundation for future autonomous materials research.</p><p></p>

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Flow-driven data intensification to accelerate autonomous inorganic materials discovery

  • 期刊论文

  • 发表日期：

    2025年7月14日

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  • Fernando Delgado-Licona,
  • Abdulrahman Alsaiari,
  • Hannah Dickerson,
  • Philip Klem,
  • Arup Ghorai,
  • Richard B. Canty,
  • Jeffrey A. Bennett,
  • Pragyan Jha,
  • Nikolai Mukhin,
  • Junbin Li,
  • Enrique A. López-Guajardo,
  • Sina Sadeghi,
  • Fazel Bateni,
  • Milad Abolhasani

摘要

The rapid discovery of advanced functional materials is critical for overcoming pressing global challenges in energy and sustainability. Despite recent progress in self-driving laboratories and materials acceleration platforms, their capacity to explore complex parameter spaces is hampered by low data throughput. Here we introduce dynamic flow experiments as a data intensification strategy for inorganic materials syntheses within self-driving fluidic laboratories by the continuous mapping of transient reaction conditions to steady-state equivalents. Applied to CdSe colloidal quantum dots, as a testbed, dynamic flow experiments yield at least an order-of-magnitude improvement in data acquisition efficiency and reducing both time and chemical consumption compared to state-of-the-art self-driving fluidic laboratories. By integrating real-time, in situ characterization with microfluidic principles and autonomous experimentation, a dynamic flow experiment fundamentally redefines data utilization in self-driving fluidic laboratories, accelerating the discovery and optimization of emerging materials and creating a sustainable foundation for future autonomous materials research.