Collaborative Research: A Statistics-Guided Framework for Synthesis and Characterization of Nanomaterials

该合作研究奖的研究目标是开发一个以化学为指导的框架，以显着提高纳米合成的效率和纳米制造中纳米表征的准确性。该研究旨在产生变革性的计算和分析方法，以提高纳米材料的可重复性，可靠性，效率和精度。这些新方法包括用于纳米材料顺序合成的水平扩展实验设计，用于精确表征具有大量数据的纳米材料表面势的顺序锥形化方法和用于识别纳米表征中的相位截断的功能数据分析方法。这些方法可以显著提高纳米颗粒，纳米线和复杂纳米结构的实验室规模的开发，以及工业规模的纳米制造。如果成功，这项研究的结果有望加速纳米制造实验的规模化和标准化。这些结果将广泛传播给纳米技术界。除了纳米制造，这项研究中开发的统计和计算方法将广泛应用于制造和企业系统的其他领域，如多阶段制造过程，物流和医疗保健。本科生和研究生将通过严格的统计和纳米技术培训从这项研究中受益。将建立一个充满活力的平台，向本科少数民族学生教授先进的应用科学，并提供研究经验。

The research goal of this collaborative research award is to develop a statistics-guided framework for significantly enhancing the efficiency of nano-synthesis and the accuracy of nano-characterization in nanomanufacturing. The research seeks to produce transformative computational and analytic methods for advancing the reproducibility, reliability, efficiency and precision of nanomaterials. These new methods include a level-expansion experimental design for sequential synthesis of nanomaterials, a sequential tapering method for accurate characterization of nanomaterial surface potential with massive data and a functional data analysis approach for identifying phase truncation in nano-characterization. These methods can significantly enhance both the lab-scale development of nanoparticles, nanowires and complex nanoarchitectures, and industrial scale nanomanufacturing.If successful, the results of this research are expected to accelerate the scale-up and standardization of experiments in nanomanufacturing. These results will be disseminated broadly to the nanotechnology community. Beyond nanomanufacturing, the statistical and computational methods developed in this research will have broad applications to other fields in manufacturing and enterprise systems such as multi-stage manufacturing processes, logistics and health care. Undergraduate and graduate students will benefit from this research through rigorous training in statistics and nanotechnology. A dynamic platform will be established to teach undergraduate minority students advanced applied sciences and provide research experiences.