MRI: Acquisition of the NanoFrazor - a unique AFM-based nanolithography tool to support multidisciplinary research and promote nanoscience in South Carolina and beyond

MRI:收购 NanoFrazor - 一种独特的基于 AFM 的纳米光刻工具,用于支持多学科研究并促进南卡罗来纳州及其他地区的纳米科学

基本信息

  • 批准号:
    1920117
  • 负责人:
  • 金额:
    $ 52.97万
  • 依托单位:
  • 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
  • 起止时间:
    2019-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

This award from the Major Research Instrumentation program supports this project centered on the acquisition of the NanoFrazor Explorer nanopatterning instrument from SwissLitho to be hosted at the University of South Carolina. Advancements in the field of nanotechnology are responsible for accelerating development in numerous and diverse research disciplines including materials science, computation and information processing, photonics, biology, chemistry, and medicine. The ability to customize nanoscale structures and patterns, especially with a top-down approach, in an affordable and efficient manner, is highly desirable in all fields. The user-friendliness of the NanoFrazor will expedite the process of optimizing nano/micro-devices for practical applications in biosensing, information processing, energy storage, CO2 capture, etc., as well as provide a unique tool to study novel materials and answer basic scientific questions in a wide range of fields. Its remote access capability and simple operation procedures also render it an ideal tool for training and outreach. The Principal Investigators have established a partnership with the South Carolina State Museum and plan a set of public and educational outreach activities that utilize the NanoFrazor to promote nanotechnology and nanoscience to the general public as well as K-12 students.The thermal scanning-probe lithography tool based on heated-tip atomic force microscopy in the NanoFrazor system is capable of achieving nanoscale resolution in imaging and patterning while overcoming the shortcomings of the electron-beam lithography (EBL) technique. The NanoFrazor's unique capabilities will enhance and enable multidisciplinary research in areas including physics, material science, chemistry, biomedical engineering, electrical engineering, chemical engineering, mechanical engineering, and even material computational theory. It will open up opportunities of precise and controlled nanopatterning and nanoscale studies in a wide range of materials including those previously excluded by traditional EBL nanofabrication techniques, such as polymers, metal-organic frameworks, and protein self-assembled nanostructures. It has the potential to jump-start previously unfeasible multidisciplinary collaborative research and put the University of South Carolina on the national map for serving the needs of nanoscale science, engineering, and technology. Its intuitive operations and simple training requirement will appeal to a wide user base. The following objectives can be achieved through the acquisition of the NanoFrazor: (1) expand nanofabrication capability to material classes previously excluded by EBL; (2) enhance ongoing nanoscale research across a wide range of disciplines; (3) Enable new nanoscale research across a wide range of disciplines; (4) encourage collaborative research between departments and universities; and (5) promote nanotechnology through outreach activities involving NanoFrazor.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.
主要研究仪器计划的这一奖项支持了该项目,该项目以从SwissLitho收购NanoFrazor Explorer纳米图案化仪器为中心,将在南卡罗来纳州大学托管。纳米技术领域的进步加速了众多不同研究学科的发展,包括材料科学,计算和信息处理,光子学,生物学,化学和医学。在所有领域中,以负担得起的和有效的方式定制纳米级结构和图案的能力,特别是用自上而下的方法定制纳米级结构和图案的能力是非常期望的。NanoFrazor的用户友好性将加快优化纳米/微型设备的过程,以用于生物传感,信息处理,能量存储,CO2捕获等实际应用,以及提供一个独特的工具来研究新材料和回答广泛领域的基本科学问题。其远程访问能力和简单的操作程序也使其成为培训和外联的理想工具。主要研究者与南卡罗来纳州博物馆建立了合作关系,并计划开展一系列公共和教育推广活动,利用NanoFrazor向公众以及K-12学生推广纳米技术和纳米科学。NanoFrazor系统中的尖端原子力显微镜能够在成像和图案化中实现纳米级分辨率,同时克服电子束光刻的缺点(EBL)技术。NanoFrazor的独特功能将增强和实现多学科研究领域,包括物理,材料科学,化学,生物医学工程,电气工程,化学工程,机械工程,甚至材料计算理论。它将为广泛的材料提供精确和可控的纳米图案化和纳米级研究的机会,包括那些以前被传统EBL纳米纤维技术排除在外的材料,如聚合物,金属有机框架和蛋白质自组装纳米结构。它有可能启动以前不可行的多学科合作研究,并将南卡罗来纳州大学放在国家地图上,以满足纳米科学,工程和技术的需求。其直观的操作和简单的培训要求将吸引广泛的用户群。通过收购NanoFrazor可以实现以下目标:(1)将纳米材料的能力扩展到以前被EBL排除的材料类别;(2)加强跨广泛学科的正在进行的纳米研究;(3)使跨广泛学科的新纳米研究成为可能;(4)鼓励部门和大学之间的合作研究;(5)鼓励科学家和科学家在科学领域的合作。和(5)通过涉及NanoFrazor的推广活动促进纳米技术。该奖项反映了NSF的法定使命,并通过使用基金会的知识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(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Residue analysis of thermally depolymerized phthalaldehyde‐based polymer thin films
热解聚邻苯二甲醛基聚合物薄膜的残留物分析
  • DOI:
    10.1002/pat.5244
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Engler, Anthony;Lo, Chi Kin;Kohl, Paul A.
  • 通讯作者:
    Kohl, Paul A.
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Yanwen Wu其他文献

Strain-induced bandgap engineering in CsGeX3 (X = I, Br or Cl) perovskites: insights from first-principles calculations
CsGeX3(X = I、Br 或 Cl)钙钛矿中的应变诱导带隙工程:第一性原理计算的见解
  • DOI:
    10.1039/d1cp05787a
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Guangbiao Xiang;Yanwen Wu;Man Zhang;Jiancai Leng;Chen Cheng;Hong Ma
  • 通讯作者:
    Hong Ma
Human exposure to micro(nano)plastics: Health risks and analysis methods
人类对微(纳)塑料的暴露:健康风险与分析方法
  • DOI:
    10.1016/j.trac.2024.117835
  • 发表时间:
    2024-09-01
  • 期刊:
  • 影响因子:
    12.000
  • 作者:
    Guoyou Chen;Xiaolei Li;Zhibin Wang;Minghui Li;Wenyi Wang;Ruize Lu;Shihe Wang;Qi Li;Zunbo Hu;Yanwen Wu;Zhonghua Li;Peng Wang;Yonggang Cao
  • 通讯作者:
    Yonggang Cao
Insights into the influence of rutin and amylose on the structure of maize starch-lauric acid-rutin complex
芦丁和直链淀粉对玉米淀粉 - 月桂酸 - 芦丁复合物结构的影响的见解
  • DOI:
    10.1016/j.foodchem.2025.144708
  • 发表时间:
    2025-09-30
  • 期刊:
  • 影响因子:
    9.800
  • 作者:
    Jing Cheng;Zixuan Wang;Mengyu Liu;Yanwen Wu;Jie Ouyang
  • 通讯作者:
    Jie Ouyang
Transient nonlinear optical spectroscopy studies involving biexciton coherence in single quantum dots
涉及单量子点双激子相干性的瞬态非线性光谱研究
  • DOI:
    10.1103/physrevb.73.153304
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaoqin Li;Yanwen Wu;Xiaodong Xu;D. Steel;D. Gammon
  • 通讯作者:
    D. Gammon
Affective Modeling and Recognition of Learning Emotion: Application to E-learning
学习情绪的情感建模和识别:在电子学习中的应用
  • DOI:
    10.4304/jsw.4.8.859-866
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yanwen Wu;Tingting Wang;Xiaonian Chu
  • 通讯作者:
    Xiaonian Chu

Yanwen Wu的其他文献

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{{ truncateString('Yanwen Wu', 18)}}的其他基金

CAREER:An all-optical plasmonic device to control and couple quantum dots for optical and quantum information processing
职业:用于控制和耦合量子点以进行光学和量子信息处理的全光学等离子体装置
  • 批准号:
    1652720
  • 财政年份:
    2017
  • 资助金额:
    $ 52.97万
  • 项目类别:
    Standard Grant

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