课题基金 / 基金详情

Experimental and Computational Study of Pore Morphology Evolution Mechanisms in Nanoporous Metal Thin Films Under Thermal/Electrical/Mechanical Stress Fields

Experimental and Computational Study of Pore Morphology Evolution Mechanisms in Nanoporous Metal Thin Films Under Thermal/Electrical/Mechanical Stress Fields
热/电/机械应力场下纳米多孔金属薄膜孔隙形貌演化机制的实验与计算研究
批准号:
2003849
负责人:
Erkin Seker
金额:
$48.14万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30

项目摘要

项目成果

Erkin Seker的其他基金

相似基金

相关文献

中文摘要
翻译
非技术概述:纳米结构金属对各种应用产生了巨大的影响,包括电池电极、生物医学植入涂层和生物传感器。在这些条件下的材料通常会受到各种外部因素(例如,温度,电和机械应力场)的影响,这些因素会逐渐改变材料的性质和性能。该项目的目的是利用纳米孔金(np-Au)作为模型系统,对这些过程有一个基本的了解。np-Au属于新兴的纳米多孔金属,因其催化、光学、机械和生物医学特性而引起了人们的极大兴趣。预期的结果是产生科学知识,可以精确控制纳米多孔金属的形状和结构变化;这将改进对材料特性如何演变的预测,进而提高纳米结构金属在应用中的性能。作为该项目的一部分,开发的仪器和模拟技术也将广泛适用于其他材料系统,包括其他纳米多孔金属和金属纳米线。该项目的更广泛影响包括社会效益和教育机会,例如本科生与主要研究人员的研究机会和互动教育工具,通过互动电脑游戏教授微/纳米制造和原子模拟的关键概念。技术概述:纳米孔金(np-Au)的形态通常是通过选择性溶解合金中不太贵重的成分来产生双连续多孔结构,通常通过热退火来调节,其中金原子的表面扩散增强导致韧带粗化。然而,在低温下施加电流和机械应力也会对粗化程度和最终形貌产生显著影响,尽管这些影响尚未得到研究。该项目假设,通过加热、电流和机械应力的协同作用,可以更精细地调节np-Au的形态变化,并开发出新的结构特征。首先,将np-Au置于不同的温度、电和机械应力场中,将使单个场的影响得到表征。随后的实验和模拟将研究同时应用这些领域的协同效应或紧急效应。该项目的主要科学成果将包括表征加热,电流和机械应力对孔隙形态演化的解耦效应,识别潜在机制和相应的动力学,以及通过实验和模拟支持的模型来预测这些领域综合影响下的形态演化。精确控制纳米多孔金属的形态演变将扩大实际可获得的纳米结构和相应的材料特性,可以作为增强的生物医学设备涂层,催化燃料电池或传感器的等离子体材料。与此同时,该项目将采用课堂作业来开发一个实验过程的交互式模拟库,强调微/纳米制造,重点是纳米结构金属和相关原子过程的可视化。此外,通过本科生撰写简短的研究计划来竞争暑期实习的计划,学生将在首席研究员的指导下从事定制项目。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
Non-technical Summary:Nanostructured metals have had a tremendous impact on a variety of applications including battery electrodes, biomedical implant coatings, and biosensors. Materials in these conditions are generally subject to various external factors (e.g., temperature, electric, and mechanical stress fields) that can gradually change the material's properties and performance. The purpose of this project is to develop a fundamental understanding of these processes using nanoporous gold (np-Au) as a model system. The np-Au belongs to the emerging class of nanoporous metals that have attracted significant interest for its catalytic, optical, mechanical, and biomedical features. The expected outcome is the generation of scientific knowledge that allows for precise control of shape and structure changes in nanoporous metals; this will improve predictions of how material properties evolve and in turn enhance the performance of nanostructured metals in applications. The instrumentation and simulation techniques developed as part of the project will be widely applicable to other material systems as well, including other nanoporous metals and metallic nanowires. The broader impacts of this project include societal benefits and educational opportunities, such as undergraduate research opportunities with the principal investigators and interactive educational tools that teach key concepts of micro-/nano-fabrication and atomistic simulations via interactive computer games.Technical Summary:The morphology of nanoporous gold (np-Au), typically produced by selectively dissolving a less noble component of an alloy to create a bicontinuous porous structure, is conventionally modulated via thermal annealing where the enhanced surface diffusion of gold atoms leads to ligament coarsening. However, both the extent of coarsening and the resulting morphologies can also be significantly affected by the application of electrical currents and mechanical stresses at low temperatures, though these effects have not yet been studied. The project hypothesizes that morphological change in np-Au can be more finely modulated, and novel structural features be developed, by applying heating, electrical current, and mechanical stresses in concert. Initially subjecting np-Au to varying temperature, electric, and mechanical stress fields will allow the effects of the individual fields to be characterized. Subsequent experiments and simulations will investigate synergistic or emergent effects from applying the fields simultaneously. Key scientific outcomes of the project will include characterization of the decoupled effects of heating, electrical current, and mechanical stresses on pore morphology evolution, identification of the underlying mechanisms and the corresponding kinetics, and a model supported by experiments and simulations to predict the morphological evolution from the combined influences of these fields. Precise control of morphology evolution in nanoporous metals will expand the set of practically accessible nanostructures and corresponding material properties that can be implemented as enhanced biomedical device coatings, catalytic fuel cells, or as plasmonic materials for sensors. In tandem, the project will employ classroom assignments to develop a library of interactive simulations of experimental procedures that emphasize micro-/nano-fabrication with a focus on nanostructured metals and visualizations of the relevant atomic processes. In addition, through a scheme where undergraduate students write a short research proposal to compete for a summer internship, the students will be employed on customized projects under mentorship of the principal investigators.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(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.commatsci.2020.110144
发表时间: 2020-11
期刊: Computational Materials Science
影响因子: 3.3
作者: [Sakura Kawano;J. Mason]
通讯作者: Sakura Kawano;J. Mason
DOI: 10.3390/bios13060601
发表时间: 2023-05-31
期刊: Biosensors
影响因子: --
作者: []
通讯作者:
UNS: Effects of Nanostructure on the Performance of Nucleic Acid-Based Electrochemical Biosensors
  • 批准号:
    1512745
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.53万
  • 财政年份:
    2015
  • 负责人:
    Erkin Seker
  • 依托单位:
CAREER: Multifunctional Nanostructured Electrodes for Closed-Loop Control of Neural Activity
  • 批准号:
    1454426
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.48万
  • 财政年份:
    2015
  • 负责人:
    Erkin Seker
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data