Understanding and Monitoring Nanoparticle Self-Assembly Processes with Online Transmission Electron Microscopic Data

利用在线传输电子显微镜数据了解和监测纳米颗粒自组装过程

基本信息

  • 批准号:
    1334012
  • 负责人:
  • 金额:
    $ 28.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-10-01 至 2017-09-30
  • 项目状态:
    已结题

项目摘要

The objective of this award is to develop a statistical methodology for understanding the dynamic aspects of nanoparticle production processes by using online measurements of the processes, and to study quality technology for achieving high-quality production of nanoparticles based on understanding the processes. Due to its potential for large-scale production, the main interest is in nanoparticle self-assembly, which assembles nanoparticles via their dynamic interactions. The developed methodology characterizes and uses the dynamic interactions for quality monitoring of the self-assembly. An optimization problem is formulated for automatically tracking individual nanoparticles and their interactions from the noisy online measurements of their self-assembly processes, and a computationally efficient sub-optimal algorithm is developed to solve the problem. The tracked particle interactions are fit to the proposed statistical-physical model for estimating unknown process parameters in an underlying physics-based model. Several empirical models are also developed for filling the void in the physics-based model. The PI will develop a new process monitoring method, which uses the values of the estimated process parameters, to test whether a nanoparticle self-assembly process is in normal condition and to locate special causes of process anomalies if available. A silver nanoparticle self-assembly is used as a prototypical process to validate the developed methodology.If successful, this work will advance online process characterization and monitoring for nanoparticle production processes, thereby leading to high quality production of nanoparticles. In addition, the developed statistical-physical model will lead to a fundamental understanding of dynamic nanoscale phenomena in nanoparticles, which will help to expand the current research into nanoparticle physics and chemistry. The results of this work will be disseminated via publications and presentations, and will be used to provide education opportunities for closing the workforce deficit with skilled nano-process engineers through new courses, student mentoring, and workshop programs for K-12 students.
该奖项的目的是开发一种统计方法,通过使用过程的在线测量来了解纳米颗粒生产过程的动态方面,并在了解过程的基础上研究实现高质量纳米颗粒生产的质量技术。由于其大规模生产的潜力,主要的兴趣是在纳米粒子自组装,通过它们的动态相互作用组装纳米粒子。所开发的方法的特点,并使用的自组装的质量监测的动态相互作用。提出了一个优化问题,用于根据自组装过程的嘈杂在线测量来自动跟踪单个纳米颗粒及其相互作用,并开发了一种计算效率高的次优算法来解决该问题。跟踪的粒子相互作用适合于所提出的物理-物理模型,用于在基于物理的基础模型中估计未知的过程参数。还开发了几个经验模型来填补基于物理模型的空白。PI将开发一种新的过程监控方法,该方法使用估计的过程参数值来测试纳米颗粒自组装过程是否处于正常状态,并在可能的情况下定位过程异常的特殊原因。一个银纳米粒子的自组装被用作一个原型过程来验证所开发的方法。如果成功的话,这项工作将推进在线过程表征和监测纳米粒子的生产过程,从而导致高质量的纳米粒子的生产。此外,开发的物理模型将导致对纳米颗粒中的动态纳米尺度现象的基本理解,这将有助于扩展目前对纳米颗粒物理和化学的研究。这项工作的结果将通过出版物和演示文稿传播,并将用于通过新课程,学生辅导和K-12学生研讨会计划提供教育机会,以弥补熟练纳米工艺工程师的劳动力不足。

项目成果

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Chiwoo Park其他文献

Location and Dispersion Analysis
位置和分散分析
A digital twin calibration for an automated material handling system in a semiconductor fab
半导体工厂中自动化物料搬运系统的数字孪生校准
  • DOI:
    10.1016/j.jmsy.2025.04.015
  • 发表时间:
    2025-06-01
  • 期刊:
  • 影响因子:
    14.200
  • 作者:
    Bonggwon Kang;Chiwoo Park;Haejoong Kim;Soondo Hong
  • 通讯作者:
    Soondo Hong
Spatially Mapping Heterogeneous Nucleation Kinetics of Silver Nanocrystals with Liquid Cell Scanning Transmission Electron Microscopy
用液体细胞扫描透射电子显微镜空间绘制银纳米晶体的异质成核动力学
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Mei Wang;T. Dissanayake;Chiwoo Park;T. Woehl
  • 通讯作者:
    T. Woehl
Gaussian process metamodeling for experiments with manipulating factors
用于操纵因素实验的高斯过程元建模
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chiwoo Park;R. Rao;P. Nikolaev;B. Maruyama
  • 通讯作者:
    B. Maruyama
Quantitative Modeling of Kinetically Controlled Nanocrystal Synthesis with Liquid Cell Electron Microscopy
液体电池电子显微镜动力学控制纳米晶体合成的定量建模
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Mei Wang;T. Woehl;Chiwoo Park
  • 通讯作者:
    Chiwoo Park

Chiwoo Park的其他文献

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{{ truncateString('Chiwoo Park', 18)}}的其他基金

CDS&E/Collaborative Research: Local Gaussian Process Approaches for Predicting Jump Behaviors of Engineering Systems
CDS
  • 批准号:
    2420358
  • 财政年份:
    2024
  • 资助金额:
    $ 28.5万
  • 项目类别:
    Standard Grant
CDS&E/Collaborative Research: Local Gaussian Process Approaches for Predicting Jump Behaviors of Engineering Systems
CDS
  • 批准号:
    2152655
  • 财政年份:
    2022
  • 资助金额:
    $ 28.5万
  • 项目类别:
    Standard Grant
New Data Science for Human Operational Analysis in Smart Manufacturing
智能制造中人类操作分析的新数据科学
  • 批准号:
    2132311
  • 财政年份:
    2022
  • 资助金额:
    $ 28.5万
  • 项目类别:
    Standard Grant

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