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Bioinspired Nanomanufacturing of Graphene-embedded Superhydrophobic Surfaces with Mechanical and Chemical Robustness

Bioinspired Nanomanufacturing of Graphene-embedded Superhydrophobic Surfaces with Mechanical and Chemical Robustness
具有机械和化学稳定性的石墨烯嵌入超疏水表面的仿生纳米制造
批准号:
1911719
负责人:
Hui Zhao
金额:
$39.47万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2023-08-31

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中文摘要
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英文摘要
Super-hydrophobic surfaces with excellent water-repellent properties can find applications in various fields. However, many existing super-hydrophobic surfaces cannot endure mechanical wear nor chemical contamination. In addition, the hydrostatic pressure, evaporation, external force, and surface defects can also result in the loss of super-hydrophobicity. The challenge is to manufacture stable super-hydrophobic surfaces that can resist chemical and mechanical wear. Inspired by the robustness of the super-hydrophobicity associated with the lotus leaf, this award supports fundamental research to generate knowledge for a simple and inexpensive manufacturing process that integrates laser-scribing of multilayer graphene with soft lithography to create robust and durable super-hydrophobic surfaces. The availability of durable super-hydrophobic surfaces would impact several industries such as defense, energy, healthcare, biomedical, aerospace, electronics, and automotive, where water-repellent, antifouling and similar properties are needed, which would benefit the U.S. economy and society. The project focuses on broadening participation from women and underrepresented minority groups and provides them with a bridge toward research-related careers. It provides education and hands-on training in super-hydrophobic surfaces and nanomanufacturing to undergraduate, graduate, and high school students. This project addresses a central concern of super-hydrophobic surfaces, which is the lack of durability. The manufacturing process involves the use of laser-scribing of multilayer graphene to mimic lotus wax in combination with nanostructures by soft lithography to mimic the lotus papillae, thus creating an entirely new class of synthetic super-hydrophobic materials with exceptional stability under various challenging exposure conditions. However, the fundamental relationships between multilayer graphene thickness and mechanical and chemical durability and between the thermodynamic stability and the surface topology are still poorly understood. This project aims to cultivate fundamental knowledge of laser-scribing the multilayer graphene to enhance thermodynamic, chemical, and mechanical stability. The laser-scribing process reduces graphene oxide to graphene, thus capturing key lotus leaf features that would make the surface mechanically robust, while maintaining super-hydrophobicity. Moreover, the researched quantification of the thermodynamic and mechanical durability by measuring the critical Laplace pressure and the critical abrasion cycle at which the super-hydrophobicity is lost enables a systematic and thorough understanding of the underlying relationships among the characteristics of the graphene layer, pattern topology, and enhanced durability. Because multilayer graphene thickness and surface topology are design parameters, once understood, it can lay a solid foundation for the rational design of durable super-hydrophobic surfaces.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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Discrepancy-Based Genetic Algorithm Optimization of Quasi-Random Nanostructures for Broadband Light Reflection Mitigation
用于宽带光反射缓解的准随机纳米结构的基于差异的遗传算法优化
DOI: 10.1109/rapid54473.2023.10264727
发表时间: 2023
期刊: 2023 IEEE Research and Applications of Photonics in Defense Conference (RAPID
影响因子: --
作者: [Krystek, Devin, Zhao, Yihong, Zhao, Hui]
通讯作者: Zhao, Hui
A bioinspired hybrid light-trapping structure and its fabrication for thin-film solar cells
薄膜太阳能电池的仿生混合光捕获结构及其制造
DOI: 10.1109/ipc48725.2021.9593061
发表时间: 2021
期刊: 2021 IEEE Photonics Conference (IPC
影响因子: --
作者: [Zhao, Yihong, Zhu, Ming, Zhai, Shengjie, Zhao, Hui]
通讯作者: Zhao, Hui
DOI: 10.1063/5.0057228
发表时间: 2021-08-01
期刊: AIP ADVANCES
影响因子: 1.6
作者: [Lamb, Ashley, He, Fengjie, Zhao, Hui]
通讯作者: Zhao, Hui
Collaborative Research: Self-regulated non-equilibrium assembly of chiral colloidal clusters via electrokinetic interactions
  • 批准号:
    2314340
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.75万
  • 财政年份:
    2023
  • 负责人:
    Hui Zhao
  • 依托单位:
Collaborative Research: Concentration Polarization Induced Electrokinetic Flows around dielectric Surfaces
  • 批准号:
    2127852
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.56万
  • 财政年份:
    2021
  • 负责人:
    Hui Zhao
  • 依托单位:
REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach
  • 批准号:
    2051062
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.87万
  • 财政年份:
    2021
  • 负责人:
    Hui Zhao
  • 依托单位:
CAREER: Reinventing Network-on-Chips of GPU-Accelerated Systems
  • 批准号:
    2046186
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $51.9万
  • 财政年份:
    2021
  • 负责人:
    Hui Zhao
  • 依托单位:
海外基金