Collaborative Research: Scalable Nanomanufacturing of Perovskite-Analogue Nanocrystals via Continuous Flow Reactors

合作研究：通过连续流反应器进行钙钛矿类似物纳米晶体的可扩展纳米制造

• 批准号: 2315996
• 负责人: Milad Abolhasani
• 金额: $ 39.29万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315996&HistoricalAwards=false
• 关键词: Collaborative; Research; Scalable; Nanomanufacturing; Perovskite

Lead halide perovskite nanocrystals are an emerging class of materials for next-generation photonic devices. However, the toxicity of lead has prevented them from being fully adopted by renewable energy technologies. Substitution of lead ions with eco-friendly metal ions such as copper, is a promising strategy to alleviate the toxicity issues of lead halide perovskite nanocrystals. However, scalable manufacturing of lead-free metal halide perovskites, known as perovskite-analogues, remains a challenge. This grant supports a collaborative research project that generates new knowledge related to scalable nanomanufacturing of high-performing perovskite-analogue nanocrystals using reconfigurable and modular continuous flow reactors. The new advanced manufacturing process leverages the high-throughput data generation capability of continuous flow reactors integrated with in-situ spectral characterization probes to enable precision synthesis of perovskite-analogue nanocrystals using a machine learning-assisted experimentation strategy. Lead-free semiconductor nanocrystals are increasingly preferred in photonic devices such as smart windows and luminescent solar concentrators. Large-scale manufacturing of lead-free perovskite-analogue nanocrystals with minimum energy loss can significantly reduce the total energy consumption across the U.S. and thereby benefit the nation's prosperity, health, and security. This collaborative research integrates multiple fields, including advanced manufacturing, materials chemistry, flow reactor engineering, and data science. The convergent nature of this collaborative project facilities broadening participation of women and other underrepresented groups in research and helps train next-generation leaders in science and engineering. The project plans to use YouTube to broadly disseminate the generated nanomanufacturing knowledge.Scalable manufacturing of perovskite-analogue nanocrystals is a time- and resource-intensive undertaking using conventional batch reactors. This challenge is mainly due to the fast formation kinetics of perovskite-analogue nanocrystals, resulting in process-dependent nanocrystal properties. This collaborative research project is to address the advanced manufacturing knowledge gaps in scalable production of perovskite-analogue nanocrystals. The research team plans to utilize reconfigurable and modular flow reactors to study high-temperature precision nanomanufacturing of copper-based perovskite-analogue nanocrystals using a decoupled precursor chemistry. Through integration of data science with automated flow reactors, the high-dimensional nanomanufacturing space of copper-based perovskite-analogue nanocrystals are rapidly explored to identify optimal nanomanufacturing routes of fabricating high-performance nanocrystals with desired optical and optoelectronic properties for device applications. The application of reconfigurable and modular continuous flow reactors with on-demand and selective precursor heating capability to nanomanufacturing is unique and a powerful way to enable precision manufacturing and increase production scale at which copper-based perovskite-analogue nanocrystals and other energy-relevant materials can be economically manufactured.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

铅卤化物钙钛矿纳米晶体是下一代光子设备的新兴材料。但是，铅的毒性使它们无法被可再生能源技术完全采用。用环保金属离子（如铜）替换铅离子是减轻卤化物卤化物钙钛矿纳米晶体的毒性问题的有前途的策略。但是，无铅金属卤化物钙钛矿的可扩展制造，称为钙钛矿 - 分析，仍然是一个挑战。该赠款支持一个协作研究项目，该项目生成了与可扩展的纳米制造有关的新知识，该纳米制造使用可重新配置和模块化的连续流动反应器，使用可重构和模块化的连续流动反应器。新的先进制造过程利用了与原位光谱表征探针集成的连续流动反应器的高通量数据生成能力，从而可以使用机器学习辅助实验策略来精确合成Perovskite-Analogue Nanocrystals。在智能窗口和发光太阳能集中器等光子设备中，越来越喜欢无铅的半导体纳米晶体。大规模的无铅钙钛矿 - 纳米晶体纳米晶体具有最小的能源损失可以大大减少美国的总能源消耗，从而使美国的繁荣，健康和安全有益。这项协作研究整合了多个领域，包括高级制造，材料化学，流动反应堆工程和数据科学。这种合作项目设施的融合性质扩大了妇女和其他代表性不足的研究团体的参与，并帮助培训科学和工程领域的下一代领导者。该项目计划使用YouTube广泛传播生成的纳米制造知识。钙钛矿 - 动物纳米晶体的可容纳生产是使用常规批处理反应堆的时间和资源密集型承诺。这一挑战主要是由于钙钛矿 - 动物纳米晶体的快速形成动力学，从而导致过程依赖性纳米晶体。该协作研究项目旨在解决钙钛矿纳米晶体的可扩展生产中的先进制造知识差距。研究小组计划利用可重新配置和模块化流动反应器研究基于铜的perovskite-analogue纳米晶体的高温精度纳米制造，并使用去耦的前体化学化学。通过将数据科学与自动流动反应器的集成，迅速探索了基于铜的钙钛矿 - 纳米晶体的高维纳米制造空间，以识别使用所需的光学和OptoelectRonic属性为设备应用制造高性能纳米晶体的最佳纳米制造途径。具有重新配置和模块化的连续流动反应器，具有按需和选择性的前体供暖能力到纳米制造是独特的，并且是一种强大的方法，是启用精确制造并增加生产量表，基于铜的perovskite-perovskite-analogue nanocrystals nanocrystals和其他能源材料可以通过经济上的奖励进行评估。基金会的智力优点和更广泛的影响评论标准。