Smart Nanofabrication via Rational Assembly of Two-Dimensional Heterosystems

通过二维异质系统的合理组装实现智能纳米制造

基本信息

  • 批准号:
    1434689
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-01 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

Since the discovery of graphene about ten years ago, atomically-thin nanosheets of different electronic nature have become the focal point for the research community. These nanosheets could be semiconducting, insulating, or semi-metallic, and potentially useful as the basic building-blocks for the next-generation nano-scale manufacturing. This award will address several known challenges in today's semiconductor microfabrication. Research will involve studies of super thin-film implementation, atomic-scale control, self-limiting assembly, and heterogeneous integration. The concept of layer-based smart nanomanufacturing allows for flexible integration of different nanomaterials. The research work will close the gap between science-driven research in nanomaterials and commercial applications. In a broader view, the fabrication strategy could be extended to a large family of two-dimensional and three-dimensional nanostructures. The resulting material systems will potentially impact a variety of areas, including flexible electronics, solar cells, optoelectronics, sensors, and multifunctional integration via innovative engineering. This work will open unique opportunities for students to acquire interdisciplinary research experience in material science, physics, devices, and nanofabrication, creating great synergy in research and learning. The dissemination of scientific discoveries and its inclusion in curriculum development in undergraduate, graduate, and professional education would ensure broad impacts to scientific, educational, and the general public. The research explores two-dimensional van der Waals functional heterostructures and nano-device technology via a layer-by-layer assembly-based material processing strategy, aimed at establishing a versatile, leap-forward nanofabrication platform that circumvents the well-known issues in the traditional thin-film based fabrication. The research is composed of two tasks: (i) Exploring fundamental behavior of two-dimensional heterostructures made by nanosheets of different nature and discovering key guidelines and pathway towards atomic layer based nanofabrication. (ii) Demonstrating two-dimensional heterostructure field-effect transistor on the material platform and studying the critical design issues including scalability, manufacturability, and reliability. The research aims to acquire in-depth understanding from both scientific and engineering perspective towards developing layer-by-layer assembly-enabled, smart manufacturing strategy potentially applicable to a broad range of nanoscale devices and components, supported by the state-of-the-art nanofab facilities at the University.
自十多年前石墨烯被发现以来,具有不同电子性质的原子薄纳米薄片成为了研究界关注的焦点。这些纳米薄片可以是半导体的、绝缘的或半金属的,并有可能用作下一代纳米级制造的基本构件。该奖项将解决当今半导体微制造中的几个已知挑战。研究将涉及超薄膜实现、原子尺度控制、自限组装和异质集成的研究。基于层的智能纳米制造的概念允许灵活地集成不同的纳米材料。这项研究工作将缩小纳米材料科学驱动的研究和商业应用之间的差距。从更广泛的角度来看,制造策略可以扩展到一大类二维和三维纳米结构。由此产生的材料系统将潜在地影响多个领域,包括柔性电子、太阳能电池、光电子、传感器和通过创新工程实现的多功能集成。这项工作将为学生提供独特的机会,获得材料科学、物理、器件和纳米制造方面的跨学科研究经验,在研究和学习中创造巨大的协同效应。传播科学发现并将其纳入本科、研究生和专业教育的课程开发将确保对科学、教育和普通公众产生广泛影响。这项研究通过基于层层组装的材料加工策略,探索二维范德华功能异质结构和纳米器件技术,旨在建立一个通用的、跨越式的纳米制造平台,绕过传统薄膜制造中众所周知的问题。这项研究由两个任务组成:(I)探索由不同性质的纳米薄片制成的二维异质结构的基本行为,并找到基于原子层的纳米制造的关键指导方针和途径。(2)在材料平台上演示了二维异质结场效应晶体管,并研究了可扩展性、可制造性和可靠性等关键设计问题。这项研究旨在从科学和工程的角度深入了解在大学最先进的NanoFab设施的支持下,开发可能适用于各种纳米级设备和部件的逐层组装的智能制造战略。

项目成果

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Bin Yu其他文献

Images of China : An Empirical Study of Western Tourist Material
中国形象:西方旅游材料的实证研究
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ying Sun;Bin Yu
  • 通讯作者:
    Bin Yu
Machine perfusion combined with antibiotics prevents donor‐derived infections caused by multidrug‐resistant bacteria
机器灌注联合抗生素预防多重耐药菌引起的供体源性感染
  • DOI:
    10.1111/ajt.17032
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Han Liang;Peng Zhang;Bin Yu;Zhongzhong Liu;Li Pan;Xueyu He;Xiaoli Fan;Yanfeng Wang
  • 通讯作者:
    Yanfeng Wang
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
非参数稀疏分层模型描述 V1 fMRI 对自然图像的响应
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pradeep Ravikumar;Vincent Q. Vu;Bin Yu;Thomas Naselaris;Kendrick Norris Kay;J. Gallant
  • 通讯作者:
    J. Gallant
Scaling vortex breakdown mechanism based on viscous effect in shock cylindrical bubble interaction
激波圆柱气泡相互作用中基于粘性效应的尺度涡流破坏机制
  • DOI:
    10.1063/1.5051463
  • 发表时间:
    2018-12
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Zi'ang Wang;Bin Yu;Hao Chen;Bin Zhang;Hong Liu
  • 通讯作者:
    Hong Liu
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: A virtual simulation analysis
基于激光雷达的自动驾驶汽车的已建成水平弯曲道路的准备情况:虚拟仿真分析
  • DOI:
    10.1016/j.aap.2022.106762
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.9
  • 作者:
    Shuyi Wang;Yang Ma;Jinzhou Liu;Bin Yu;Feng Zhu
  • 通讯作者:
    Feng Zhu

Bin Yu的其他文献

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{{ truncateString('Bin Yu', 18)}}的其他基金

Advancing Theory and Methodology for Tree-Based Algorithms in High Dimensions
推进高维树基算法的理论和方法
  • 批准号:
    2209975
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Understanding Complexity and the Bias-Variance Tradeoff in High Dimensions: Theory and Data Evidence
理解高维度的复杂性和偏差-方差权衡:理论和数据证据
  • 批准号:
    2015341
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Parallel Ensemble Learning and Feature Interaction Discovery: High Volume Dynamic Data
并行集成学习和特征交互发现:大量动态数据
  • 批准号:
    1953191
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Understand the functional mechanism of the DSP1 complex in the 3' end maturation of plant small nuclear RNAs
了解DSP1复合物在植物核小RNA 3端成熟中的功能机制
  • 批准号:
    1818082
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
BIGDATA: F: Scalable and Interpretable Machine Learning: Bridging Mechanistic and Data-Driven Modeling in the Biological Sciences
BIGDATA:F:可扩展和可解释的机器学习:桥接生物科学中的机械和数据驱动建模
  • 批准号:
    1741340
  • 财政年份:
    2017
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Canonical Linear Methods and Hierarchical Non-Linear Methods in High-Dimensional Statistics
高维统计中的规范线性方法和分层非线性方法
  • 批准号:
    1613002
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Collaborative Research: Leverage Subsampling for Regression and Dimension Reduction
协作研究:利用子采样进行回归和降维
  • 批准号:
    1228246
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Direct Self-Assembly of Large Area, High Crystallinity 2D Graphene on Insulator: An Integratable Carbon Platform
绝缘体上大面积、高结晶度二维石墨烯的直接自组装:可集成的碳平台
  • 批准号:
    1162312
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Understanding DAWDLE Function in miRNA and siRNA Biogenesis
了解 DAWDLE 在 miRNA 和 siRNA 生物发生中的功能
  • 批准号:
    1121193
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Ultra-Low-Power Complementary Logic with On-Chip Directly Assembled, Highly Adaptive 2-D Graphitic Platform
超低功耗互补逻辑,具有片上直接组装、高度自适应的 2D 图形平台
  • 批准号:
    1002228
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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