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: Development of an ultrafast, ultrasensitive, and high resolution direct electron detector for next-generation electron back-scattered diffraction of metallic and beam-sensitiv
批准号:
2117843
负责人:
Daniel Gianola
金额:
$57.8万
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
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31
中文摘要
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英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.matchar.2023.112673
发表时间:
2023-01
期刊:
Materials Characterization
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
EAGER: Controlling Microstructure for Strong and Damage Tolerant Nanocrystalline Metals
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批准号:1724519
-
项目类别:Standard Grant
-
资助金额:$29.9万
-
财政年份:2017
-
负责人:Daniel Gianola
-
依托单位:
CAREER: Mechanics of Ultra-Strength Nanomaterials: Revealing Deformation Mechanisms
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批准号:1056293
-
项目类别:Continuing Grant
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资助金额:$60.0万
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财政年份:2011
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负责人:Daniel Gianola
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依托单位:
Materials World Network: Collaborative Research: Quantifying the Role of Impurities that Control Stress-Driven Grain Growth in Nanocrystalline Metals
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批准号:1008222
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项目类别:Continuing Grant
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资助金额:$60.0万
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财政年份:2011
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负责人:Daniel Gianola
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依托单位:
Bayesian methods for structural equation models in quantitative genetics with applications to the study of mammary gland disease
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批准号:0443771
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2005
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负责人:Daniel Gianola
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依托单位:
Quantitative Genetic Analysis of Longitudinal Data Using Robust Bayesian Methods
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批准号:0089742
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项目类别:Continuing Grant
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资助金额:$27.7万
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财政年份:2001
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负责人:Daniel Gianola
-
依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: