RII Track-4:NSF: Programmed Material Transport Properties via Scalable Assembly Processes

RII Track-4:NSF:通过可扩展组装工艺编程材料传输属性

基本信息

  • 批准号:
    2229784
  • 负责人:
  • 金额:
    $ 23.79万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-02-01 至 2025-01-31
  • 项目状态:
    未结题

项目摘要

A tremendous need exists for battery technology with enhanced storage capacity. Addressing this need requires new advances in battery fabrication strategies, such as scalable methods for creating silicon nanoparticle electrodes. The consequence would result in a broad, transformative impact across all aspects of modern life such as increasing the range of electric cars, providing more effective storage for distributed power systems, and yielding compact medical devices. Toward this vision, the aim of this fellowship project is to elucidate an advanced fabrication pathway capable of programmatic control of material microstructures across multiple length scales. The goals of this fellowship are to (1) strengthen the PI’s additive manufacturing research program with intensive training on the synthesis and multi-scale characterization of inorganic functional materials at the University of California, Santa Barbara; (2) bring long-term sustained improvements to the research and education capacity of the University of Hawaiʻi in materials science and advanced manufacturing; and (3) establish long-term collaborations and training opportunities between University of Hawaiʻi and University of California, Santa Barbara, including with the NSF-supported Materials Research Laboratory. This Research Infrastructure Improvement Track-4 EPSCoR Research Fellows (RII Track-4) project would provide a fellowship to an Assistant Professor and training for graduate student at the University of Hawaii (UH). This project advances the additive manufacture of composite materials with programmed material properties by seeking to establish the scientific foundation needed to balance time scales and length scales in hierarchical methods that combine self-assembly and field-assisted aggregation. The proposed research contributes to the state of knowledge regarding: (1) control of microstructure properties across length scales, (2) top-down design of material transport properties, (3) resultant hypothesized improvement in material performance, and (4) methodology to implement this programmatic control in a scalable manner. As many of the underlying scaling relationships will translate to other types of external fields, the outcome of this project will enable the assembly of composite materials with programmed transport properties. The research objectives are to (1) establish a framework for the hierarchical assembly of battery materials using acoustic fields and (2) elucidate the structure-property relationships of nanoparticle networks in materials fabricated by field-assisted colloidal assembly. The training and synergistic objectives are to establish a sustainable, long-term research collaboration, develop a new undergraduate course on additive manufacturing for University of Hawaiʻi, initiate new collaborations with University of California, Santa Barbara, and establish a mutual student exchange program with the MRL. The project impact will be sustained through joint publications, collaborative proposals, student co-advising, and collaborations between institutes at University of California, Santa Barbara and University of Hawaiʻi.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.
存在对具有增强的存储容量的电池技术的巨大需求。解决这一需求需要电池制造策略取得新的进展,例如制造硅纳米颗粒电极的可扩展方法。其结果将对现代生活的各个方面产生广泛的变革性影响,例如增加电动汽车的续航里程,为分布式电力系统提供更有效的存储,以及生产紧凑的医疗设备。为了实现这一愿景,该奖学金项目的目的是阐明一种先进的制造途径,能够在多个长度尺度上对材料微结构进行编程控制。该奖学金的目标是:(1)通过在圣巴巴拉的加州大学进行无机功能材料合成和多尺度表征的强化培训,加强PI的增材制造研究计划;(2)长期持续改善夏威夷大学在材料科学和先进制造方面的研究和教育能力;以及(3)在夏威夷大学和加州大学圣巴巴拉分校之间建立长期合作和培训机会,包括与NSF支持的材料研究实验室。 这个研究基础设施改善轨道-4 EPSCoR研究员(RII轨道-4)项目将提供奖学金,以助理教授和培训研究生在夏威夷大学(UH)。该项目通过寻求建立在分层方法中平衡时间尺度和长度尺度所需的科学基础来推进具有编程材料特性的复合材料的增材制造,该分层方法结合了联合收割机自组装和场辅助聚集。所提出的研究有助于以下方面的知识状态:(1)跨长度尺度的微结构特性的控制,(2)材料传输特性的自上而下的设计,(3)由此产生的材料性能的假设改进,以及(4)以可扩展的方式实施这种程序控制的方法。由于许多潜在的缩放关系将转化为其他类型的外部场,因此该项目的结果将使具有编程传输特性的复合材料的组装成为可能。本论文的研究目标是:(1)建立一个利用声场进行电池材料分级组装的框架;(2)阐明场辅助胶体组装材料中纳米颗粒网络的结构-性能关系。培训和协同目标是建立一个可持续的,长期的研究合作,为夏威夷大学开发一个新的增材制造本科课程,与加州大学,圣巴巴拉开展新的合作,并与MRL建立一个相互的学生交流计划。该项目的影响将通过联合出版物,合作建议,学生共同建议,以及加州大学,圣巴巴拉和夏威夷大学之间的合作来维持。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

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Tyler Ray其他文献

Microfluidics for interrogating live intact tissues
用于询问完整活体组织的微流体技术
  • DOI:
    10.1038/s41378-020-0164-0
  • 发表时间:
    2020-08-24
  • 期刊:
  • 影响因子:
    9.900
  • 作者:
    Lisa F. Horowitz;Adán D. Rodriguez;Tyler Ray;Albert Folch
  • 通讯作者:
    Albert Folch

Tyler Ray的其他文献

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{{ truncateString('Tyler Ray', 18)}}的其他基金

CAREER: Additive Manufacturing with Acoustically Assembled Multi-Scale Composite Materials
职业:使用声学组装的多尺度复合材料进行增材制造
  • 批准号:
    2240170
  • 财政年份:
    2023
  • 资助金额:
    $ 23.79万
  • 项目类别:
    Standard Grant

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