MRI: Development of an ultrafast, ultrasensitive, and high resolution direct electron detector for next-generation electron back-scattered diffraction of metallic and beam-sensitiv

MRI:开发超快、超灵敏、高分辨率直接电子探测器,用于金属和光束敏感的下一代电子背散射衍射

基本信息

  • 批准号:
    2117843
  • 负责人:
  • 金额:
    $ 57.8万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Electron back-scattered diffraction (EBSD) has evolved into a widespread and powerful characterization technique for the mapping and analysis of phases in materials, providing key information about crystal orientation, morphologies, lattice strain, topology, and crystallographic texture. The advent of direct electron detection that circumvents inefficient conversion between electrons and photons has revolutionized the field of transmission electron microscopy owing to single-electron sensitivity for low-dose imaging and ultrafast detection for time-resolved studies, but its use in scanning electron microscopes (SEMs) is in its infancy. An award is made to the University of California Santa Barbara to develop an ultrafast and ultrasensitive direct electron EBSD instrument for the widely accessible SEM platform, providing a rich opportunity for materials research that are hindered by electron beam damage and temporal limitations of detectors. The development project improves on the state-of-the-art EBSD acquisition speed and enhances the sensitivity through a new sensor design, unlocking the most vexing challenges in the rapid 3D characterization of additively manufactured materials and emerging dose-sensitive energy storage and conversion materials plagued by beam damage. The award will ensure engagement with the community and early-career researchers via a yearly open house hosted by the shared user facility, as well as with REU and RET projects through partnerships with the Materials Research Laboratory and the Quantum Foundry at UC Santa Barbara. The developed instrumentation and simulation tools will also be integrated with the Center for Scientific Computing, which promotes the effective use of High Performance Computing in the research and teaching environment.The next-generation direct-detection EBSD instrument will be optimized for electron beam energies of 3kV to 30kV with single-electron sensitivity, and a small sensor form factor permitting flexible location within the microscope chamber. For materials that are damage-prone, such as organic crystalline materials, limiting the electron dose is critical and detection yield becomes paramount, especially at low energies. The developed instrument will enable the detection of rich material information encoded in electron diffraction, circumventing longstanding issues of low-damage threshold and weak scattering signals. Metallic alloys and battery materials also benefit from high detection sensitivity and low-kV operation, revealing structural features such as dislocation cells in additively manufactured materials and enabling the evolution of microstructure at rates that can keep up with in operando device observations.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.
电子背散射衍射(EBSD)已发展成为一种广泛而强大的表征技术,用于材料中相的映射和分析,提供有关晶体取向、形态、晶格应变、拓扑和晶体学织构的关键信息。直接电子检测的出现,避免了电子和光子之间的低效转换,由于低剂量成像的单电子灵敏度和时间分辨研究的超快检测,已经彻底改变了透射电子显微镜领域,但其在扫描电子显微镜(SEM)中的使用仍处于起步阶段。加州大学圣巴巴拉获得了一项奖项,为广泛使用的SEM平台开发超快和超灵敏的直接电子EBSD仪器,为受电子束损伤和探测器时间限制阻碍的材料研究提供了丰富的机会。该开发项目改进了最先进的EBSD采集速度,并通过新的传感器设计提高了灵敏度,从而解决了增材制造材料和新兴剂量敏感型能量存储和转换材料快速3D表征中最棘手的挑战。该奖项将确保通过共享用户设施举办的年度开放日与社区和早期职业研究人员进行接触,以及通过与材料研究实验室和加州大学圣巴巴拉量子铸造厂的合作伙伴关系与REU和RET项目进行接触。 开发的仪器和模拟工具也将与科学计算中心集成,促进高性能计算在研究和教学环境中的有效使用。下一代直接检测EBSD仪器将针对3kV至30kV的电子束能量进行优化,具有单电子灵敏度,以及允许在显微镜室中灵活定位的小传感器形状因子。对于容易损坏的材料,例如有机晶体材料,限制电子剂量是至关重要的,并且检测产率变得至关重要,特别是在低能量下。开发的仪器将能够检测电子衍射中编码的丰富材料信息,避免长期存在的低损伤阈值和弱散射信号问题。金属合金和电池材料也受益于高检测灵敏度和低kV操作,揭示增材制造材料中的位错胞等结构特征,并使微观结构的演变速度能够跟上操作设备的观察速度。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进行评估,被认为值得支持的搜索.

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)
Dislocation cells in additively manufactured metallic alloys characterized by electron backscatter diffraction pattern sharpness
  • DOI:
    10.1016/j.matchar.2023.112673
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Fulin Wang;J. Stinville;M. Charpagne;M. Echlin;S. Agnew;T. Pollock;M. Graef;D. Gianola
  • 通讯作者:
    Fulin Wang;J. Stinville;M. Charpagne;M. Echlin;S. Agnew;T. Pollock;M. Graef;D. Gianola
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Daniel Gianola其他文献

Analysis of Discrete Variables in Animal Breeding Contexts
  • DOI:
    10.3168/jds.s0022-0302(79)83449-9
  • 发表时间:
    1979-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Daniel Gianola
  • 通讯作者:
    Daniel Gianola
Erratum to: Contribution of an additive locus to genetic variance when inheritance is multi-factorial with implications on interpretation of GWAS
  • DOI:
    10.1007/s00122-013-2101-1
  • 发表时间:
    2013-05-05
  • 期刊:
  • 影响因子:
    4.200
  • 作者:
    Daniel Gianola;Frederic Hospital;Etienne Verrier
  • 通讯作者:
    Etienne Verrier
Predicting genetic predisposition in humans: the promise of whole-genome markers
预测人类的遗传易感性:全基因组标记的前景
  • DOI:
    10.1038/nrg2898
  • 发表时间:
    2010-11-03
  • 期刊:
  • 影响因子:
    52.000
  • 作者:
    Gustavo de los Campos;Daniel Gianola;David B. Allison
  • 通讯作者:
    David B. Allison
Genetic Analysis of Fertility in Dairy Cattle Using Negative Binomial Mixed Models
  • DOI:
    10.3168/jds.s0022-0302(99)75415-9
  • 发表时间:
    1999-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Robert J. Tempelman;Daniel Gianola
  • 通讯作者:
    Daniel Gianola

Daniel Gianola的其他文献

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{{ truncateString('Daniel Gianola', 18)}}的其他基金

EAGER: Controlling Microstructure for Strong and Damage Tolerant Nanocrystalline Metals
EAGER:控制坚固且耐损伤的纳米晶金属的微观结构
  • 批准号:
    1724519
  • 财政年份:
    2017
  • 资助金额:
    $ 57.8万
  • 项目类别:
    Standard Grant
CAREER: Mechanics of Ultra-Strength Nanomaterials: Revealing Deformation Mechanisms
职业:超强纳米材料力学:揭示变形机制
  • 批准号:
    1056293
  • 财政年份:
    2011
  • 资助金额:
    $ 57.8万
  • 项目类别:
    Continuing Grant
Materials World Network: Collaborative Research: Quantifying the Role of Impurities that Control Stress-Driven Grain Growth in Nanocrystalline Metals
材料世界网络:合作研究:量化控制纳米晶金属中应力驱动晶粒生长的杂质的作用
  • 批准号:
    1008222
  • 财政年份:
    2011
  • 资助金额:
    $ 57.8万
  • 项目类别:
    Continuing Grant
Bayesian methods for structural equation models in quantitative genetics with applications to the study of mammary gland disease
定量遗传学结构方程模型的贝叶斯方法及其在乳腺疾病研究中的应用
  • 批准号:
    0443771
  • 财政年份:
    2005
  • 资助金额:
    $ 57.8万
  • 项目类别:
    Continuing Grant
Quantitative Genetic Analysis of Longitudinal Data Using Robust Bayesian Methods
使用稳健贝叶斯方法对纵向数据进行定量遗传分析
  • 批准号:
    0089742
  • 财政年份:
    2001
  • 资助金额:
    $ 57.8万
  • 项目类别:
    Continuing Grant

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