CAREER: Intelligent Synthesis of Colloidal Nanocrystals Enabled by Microreaction Engineering in Flow

职业:流动微反应工程实现胶体纳米晶体的智能合成

基本信息

  • 批准号:
    1940959
  • 负责人:
  • 金额:
    $ 55.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

The goal of this CAREER project is to develop the fundamental scientific knowledge that will enable the design of modular flow reactors for the synthesis of nanocrystals (quantum dots) of perovskites. The target materials will be lead halide perovskite quantum dots that have potential applications in high-efficiency solar cells, high-definition color displays, and photocatalysis. This project will employ modular flow reactors to study the complex nucleation and growth mechanisms of these materials and develop the necessary process-structure-property relations required for optimal synthesis of perovskite quantum dots with tailored properties. The research program will be integrated with education and outreach programs aimed at training graduate and undergraduate students on flow chemistry, engaging grade 6-12 students through a modular reactor competition, educating the general public through YouTube videos, and recruiting members of underrepresented groups into STEM careers.The proposed research will be focused on studying the nucleation process, growth kinetics and composition tuning of perovskite nanocrystals by deconvoluting the mixing and reaction times in a modular flow reactor using in situ monitoring of the crystal growth process. The fundamentals of perovskite nanocrystal nucleation will be studied under a controlled microscale mixing environment in the presence of stabilizing surface ligands. The reaction kinetics of crystal growth and composition tuning mediated by halide exchange reactions in flow will be studied using machine learning (ML)-enhanced process optimization to achieve precise tuning of emission bandgap (between 1.7 and 3 eV) with narrow linewidth (90 meV and high photoluminescence (PL) quantum yield (90%) to enable commercial applications of these materials. The structure (composition)-property (PL) relationship of lead halide perovskite nanocrystals enabled by halide exchange reactions in the modular flow reactor will be studied with the purpose of developing a platform for on-demand intelligent synthesis of perovskite nanocrystals with tailored properties. In addition to training a graduate student and two undergraduate students in research, the project will involve graduate and undergraduate curriculum development on flow chemistry and outreach activities aimed at grade 6-12 students, the general public, and at recruiting members of underrepresented groups into STEM careers in collaboration with the Women in Science and Engineering (WISE) and the Summer Transition Program for incoming minority freshmen in Engineering at North Carolina State University.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.
这个CAREER项目的目标是开发基础科学知识,使模块化流动反应器的设计用于钙钛矿纳米晶体(量子点)的合成。目标材料将是卤化铅钙钛矿量子点,在高效太阳能电池、高清彩色显示器和OLED中具有潜在的应用。该项目将采用模块化流动反应器来研究这些材料的复杂成核和生长机制,并开发具有定制特性的钙钛矿量子点的最佳合成所需的必要工艺-结构-性能关系。该研究计划将与教育和外展计划相结合,旨在对研究生和本科生进行流动化学培训,通过模块化反应器竞赛吸引6-12年级的学生,通过YouTube视频教育公众,以及招募代表性不足的群体成员进入STEM职业。拟议的研究将重点研究成核过程,钙钛矿纳米晶体的生长动力学和组成调节,其通过使用晶体生长过程的原位监测在模块化流动反应器中解卷积混合和反应时间来实现。钙钛矿晶体成核的基本原理将在稳定表面配体存在下的受控微尺度混合环境下进行研究。将使用机器学习(ML)增强的工艺优化来研究晶体生长的反应动力学和流动中卤化物交换反应介导的成分调整,以实现发射带隙(1.7和3 eV之间)的精确调整,具有窄线宽(90 meV)和光致发光(PL)量子产率(90%),以实现这些材料的商业应用。将研究在模块化流动反应器中通过卤化物交换反应实现的卤化铅钙钛矿纳米晶体的结构(组成)-性质(PL)关系,目的是开发具有定制性质的钙钛矿纳米晶体的按需智能合成平台。除了在研究方面培训一名研究生和两名本科生外,该项目还将涉及流动化学方面的研究生和本科生课程开发以及针对6-12年级学生、公众、并与科学与工程女性(WISE)合作,招募代表性不足的群体的成员进入STEM职业生涯以及北卡罗来纳州州立大学工程专业少数族裔新生夏季过渡计划。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Autonomous chemical science and engineering enabled by self-driving laboratories
  • DOI:
    10.1016/j.coche.2022.100831
  • 发表时间:
    2022-05-16
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Bennett, Jeffrey A.;Abolhasani, Milad
  • 通讯作者:
    Abolhasani, Milad
Universal self-driving laboratory for accelerated discovery of materials and molecules
用于加速材料和分子发现的通用自动驾驶实验室
  • DOI:
    10.1016/j.chempr.2021.09.004
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    23.5
  • 作者:
    Epps, Robert W.;Volk, Amanda A.;Ibrahim, Malek Y.S.;Abolhasani, Milad
  • 通讯作者:
    Abolhasani, Milad
Role of AI in experimental materials science
人工智能在实验材料科学中的作用
  • DOI:
    10.1557/s43577-023-00482-y
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Abolhasani, Milad;Brown, Keith A.
  • 通讯作者:
    Brown, Keith A.
Ultrafast cation doping of perovskite quantum dots in flow
  • DOI:
    10.1016/j.matt.2021.04.025
  • 发表时间:
    2021-07-07
  • 期刊:
  • 影响因子:
    18.9
  • 作者:
    Bateni, Fazel;Epps, Robert W.;Abolhasani, Milad
  • 通讯作者:
    Abolhasani, Milad
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Milad Abolhasani其他文献

Science acceleration and accessibility with self-driving labs
科学加速与无障碍:自动驾驶实验室
  • DOI:
    10.1038/s41467-025-59231-1
  • 发表时间:
    2025-04-24
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Richard B. Canty;Jeffrey A. Bennett;Keith A. Brown;Tonio Buonassisi;Sergei V. Kalinin;John R. Kitchin;Benji Maruyama;Robert G. Moore;Joshua Schrier;Martin Seifrid;Shijing Sun;Tejs Vegge;Milad Abolhasani
  • 通讯作者:
    Milad Abolhasani
The rise of self-driving labs in chemical and materials sciences
化学与材料科学中自动驾驶实验室的兴起
  • DOI:
    10.1038/s44160-022-00231-0
  • 发表时间:
    2023-01-30
  • 期刊:
  • 影响因子:
    20.000
  • 作者:
    Milad Abolhasani;Eugenia Kumacheva
  • 通讯作者:
    Eugenia Kumacheva
Reproducibility in automated chemistry laboratories using computer science abstractions
使用计算机科学抽象概念在自动化化学实验室中的可重复性
  • DOI:
    10.1038/s44160-024-00649-8
  • 发表时间:
    2024-10-10
  • 期刊:
  • 影响因子:
    20.000
  • 作者:
    Richard B. Canty;Milad Abolhasani
  • 通讯作者:
    Milad Abolhasani
Cationic ligation guides quantum-well formation in layered hybrid perovskites
  • DOI:
    10.1016/j.matt.2024.09.010
  • 发表时间:
    2024-12-04
  • 期刊:
  • 影响因子:
  • 作者:
    Kasra Darabi;Mihirsinh Chauhan;Boyu Guo;Jiantao Wang;Dovletgeldi Seyitliyev;Fazel Bateni;Tonghui Wang;Masoud Ghasemi;Laine Taussig;Nathan Woodward;Xiang-Bin Han;Evgeny O. Danilov;Ruipeng Li;Xiaotong Li;Milad Abolhasani;Kenan Gundogdu;Aram Amassian
  • 通讯作者:
    Aram Amassian
Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties
用于具有靶向结构和光学性质的等离子体纳米粒子光化学合成的自动驾驶实验室
  • DOI:
    10.1038/s41467-025-56788-9
  • 发表时间:
    2025-02-08
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Tianyi Wu;Sina Kheiri;Riley J. Hickman;Huachen Tao;Tony C. Wu;Zhi-Bo Yang;Xin Ge;Wei Zhang;Milad Abolhasani;Kun Liu;Alan Aspuru-Guzik;Eugenia Kumacheva
  • 通讯作者:
    Eugenia Kumacheva

Milad Abolhasani的其他文献

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{{ truncateString('Milad Abolhasani', 18)}}的其他基金

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
  • 财政年份:
    2024
  • 资助金额:
    $ 55.88万
  • 项目类别:
    Standard Grant
Workshop: Foundation for Unmanned Technological Utilization, Research, and Exploration (FUTURE) Labs
研讨会:无人技术利用、研究和探索(未来)实验室基金会
  • 批准号:
    2332452
  • 财政年份:
    2023
  • 资助金额:
    $ 55.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Data-Driven Microreaction Engineering by Autonomous Robotic Experimentation in Flow
协作研究:通过自主机器人实验进行数据驱动的微反应工程
  • 批准号:
    2208406
  • 财政年份:
    2023
  • 资助金额:
    $ 55.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Continuous Manufacturing of Hetero-Nanostructures Enabled by Colloidal Atomic Layer Deposition
合作研究:通过胶体原子层沉积实现异质纳米结构的连续制造
  • 批准号:
    1902702
  • 财政年份:
    2019
  • 资助金额:
    $ 55.88万
  • 项目类别:
    Standard Grant
GOALI: Manufacturing USA: Elastomeric Microparticle-Packed Bed Reactor for Continuous Metal-Mediated Pseudo-Homogeneous Catalysis
GOALI:美国制造:用于连续金属介导的伪均相催化的弹性体微粒填充床反应器
  • 批准号:
    1803428
  • 财政年份:
    2018
  • 资助金额:
    $ 55.88万
  • 项目类别:
    Standard Grant

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Intelligent Columns for Synthesis and Separation
用于合成和分离的智能柱
  • 批准号:
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Model-Based Synthesis and Safety Assurance of Intelligent Controllers for Autonomous Vehicles
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