4.8 Article

Accelerated Development of Colloidal Nanomaterials Enabled by Modular Microfluidic Reactors: Toward Autonomous Robotic Experimentation

期刊

ADVANCED MATERIALS
卷 33, 期 4, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202004495

关键词

accelerated materials development; autonomous robotic experimentation; colloidal nanomaterials; microfluidics

资金

  1. National Science Foundation [1902702]
  2. UNC Research Opportunities Initiative (UNC-ROI)
  3. North Carolina State University
  4. Div Of Civil, Mechanical, & Manufact Inn
  5. Directorate For Engineering [1902702] Funding Source: National Science Foundation

向作者/读者索取更多资源

Microfluidic technologies have shown great potential in synthesis and optimization of various nanomaterials, but are not yet widely adopted in the colloidal nanomaterial community. By studying reactor design, performance, online diagnostics, and robotic experimentation strategies, controlled synthesis of colloidal nanomaterials can be accelerated. Collaborations between microfluidic reactor engineers and colloidal nanomaterial chemists can significantly expedite nanomaterial discovery, optimization, and manufacturing.
In recent years, microfluidic technologies have emerged as a powerful approach for the advanced synthesis and rapid optimization of various solution-processed nanomaterials, including semiconductor quantum dots and nanoplatelets, and metal plasmonic and reticular framework nanoparticles. These fluidic systems offer access to previously unattainable measurements and synthesis conditions at unparalleled efficiencies and sampling rates. Despite these advantages, microfluidic systems have yet to be extensively adopted by the colloidal nanomaterial community. To help bridge the gap, this progress report details the basic principles of microfluidic reactor design and performance, as well as the current state of online diagnostics and autonomous robotic experimentation strategies, toward the size, shape, and composition-controlled synthesis of various colloidal nanomaterials. By discussing the application offluidic platforms in recent high-priority colloidal nanomaterial studies and their potential for integration with rapidly emerging artificial intelligence-based decision-making strategies, this report seeks to encourage interdisciplinary collaborations between microfluidic reactor engineers and colloidal nanomaterial chemists. Full convergence of these two research efforts offers significantly expedited and enhanced nanomaterial discovery, optimization, and manufacturing.

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