CAREER: Imaging and understanding the motion and interaction of nanoparticles near surfaces

职业:成像并理解表面附近纳米颗粒的运动和相互作用

基本信息

  • 批准号:
    2338466
  • 负责人:
  • 金额:
    $ 74.43万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-01-01 至 2028-12-31
  • 项目状态:
    未结题

项目摘要

In many applications, from drug delivery to water filtration, nanoparticles are transported through heterogeneous environments. Examples of such environments are crowded biological media and polymer filtration membranes. This project investigates the motion and interaction of nanoparticles with model systems of heterogeneous surfaces and with unprecedented resolution by developing a workflow that combines nanoscale microscopy with data-driven models. Visualizing and characterizing individual nanoparticles as they move and interact with surfaces will impact areas including nanomedicine, biology, and environmental remediation. On the educational aspect, this project will engage undergraduate students, K-12 students, and teachers in scientific research to broaden the participation of students from underrepresented groups in the STEM field. By developing simulation and experimental educational modules and a board game inspired by the scientific findings on nanoscale interactions, this project will engage the public and increase scientific literacy. Interactions of nanoparticles with their surrounding environment, such as nearby surfaces, play a foundational role in nanoscale transport processes involved in nanomedicine, environmental remediation, and sensing. This project will develop a new unified framework to directly visualize, characterize, model, and engineer the motion and interaction of single nanoparticles near surfaces with nanometer and millisecond resolution. By combining the emerging in situ liquid phase transmission electron microscopy, nanoscience, machine learning, and stochastic thermodynamics, the PI will develop a new single particle tracking technique that will enable probing the dynamics of single particles’ motion and interaction at a length scale inaccessible before. The results from this project offer new design rules for engineering the motion of nanoparticles near surfaces with impact in separations, sensing, and nanomedicine. Additionally, the PI will develop a science board game inspired by the physics of nanoscale interactions and how nanoparticles move on heterogeneous energy landscapes for local science festivals to engage the public in scientific research. Experimental and simulated educational modules will be developed in collaboration with a K-12 teacher to introduce high school students to the physics of diffusion and interaction.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.
在许多应用中,从药物递送到水过滤,纳米颗粒通过异质环境运输。这样的环境的例子是拥挤的生物介质和聚合物过滤膜。该项目通过开发将纳米级显微镜与数据驱动模型相结合的工作流程,研究纳米颗粒与异质表面模型系统的运动和相互作用,并具有前所未有的分辨率。当单个纳米颗粒移动并与表面相互作用时,对其进行可视化和表征将影响纳米医学,生物学和环境修复等领域。在教育方面,该项目将吸引本科生、K-12学生和教师参与科学研究,以扩大STEM领域代表性不足群体的学生的参与。通过开发模拟和实验教育模块以及受纳米级相互作用科学发现启发的棋盘游戏,该项目将吸引公众并提高科学素养。纳米颗粒与周围环境(如附近表面)的相互作用在纳米医学、环境修复和传感等领域的纳米级传输过程中发挥着基础性作用。该项目将开发一个新的统一框架,以纳米和毫秒分辨率直接可视化,表征,建模和设计表面附近单个纳米颗粒的运动和相互作用。通过结合新兴的原位液相透射电子显微镜,纳米科学,机器学习和随机热力学,PI将开发一种新的单粒子跟踪技术,该技术将能够探测单粒子运动和相互作用的动力学在以前无法达到的长度尺度。该项目的结果为工程设计纳米粒子在分离,传感和纳米医学中的表面附近的运动提供了新的设计规则。此外,PI还将开发一款科学棋盘游戏,其灵感来自纳米级相互作用的物理学以及纳米粒子如何在当地科学节的异质能源景观上移动,以吸引公众参与科学研究。实验和模拟教育模块将与K-12教师合作开发,向高中生介绍扩散和相互作用的物理学。该奖项反映了NSF的法定使命,并被认为值得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来支持。

项目成果

期刊论文数量(0)
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Vida Jamali其他文献

Recent advances in the study of colloidal nanocrystals enabled by in situ liquid-phase transmission electron microscopy
原位液相透射电子显微镜研究胶体纳米晶的最新进展
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Ivan A. Moreno‐Hernandez;M. F. Crook;Vida Jamali;A. Alivisatos
  • 通讯作者:
    A. Alivisatos
In Situ Quantification of Interactions between Charged Nanorods in a Predefined Potential Energy Landscape.
预定义势能景观中带电纳米棒之间相互作用的原位量化。
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hoduk Cho;Ivan A. Moreno‐Hernandez;Vida Jamali;M. Oh;A. Alivisatos
  • 通讯作者:
    A. Alivisatos
Learning the diffusion of nanoparticles in liquid phase TEM via physics-informed generative AI
通过基于物理知识的生成式人工智能学习纳米粒子在液相 TEM 中的扩散
  • DOI:
    10.1038/s41467-025-61632-1
  • 发表时间:
    2025-07-08
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Zain Shabeeb;Naisargi Goyal;Pagnaa Attah Nantogmah;Vida Jamali
  • 通讯作者:
    Vida Jamali
Anomalous Nanoparticle Surface Diffusion in Liquid Cell TEM is Revealed by Deep Learning-Assisted Analysis
深度学习辅助分析揭示了液体细胞 TEM 中的异常纳米颗粒表面扩散
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Vida Jamali;Cory Hargus;Assaf Ben Moshe;Amirali Aghazadeh;H. Ha;K. Mandadapu;P. Alivisatos
  • 通讯作者:
    P. Alivisatos
Studying Diffusion of Colloidal Nanoparticles in Solution Using Liquid Phase TEM and Machine Learning
使用液相 TEM 和机器学习研究胶体纳米颗粒在溶液中的扩散
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Vida Jamali;A. Alivisatos
  • 通讯作者:
    A. Alivisatos

Vida Jamali的其他文献

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