Collaborative Research: Integrated Computational and Experimental Studies of Solid Oxide Fuel Cell Electrode Structural Evolution and Electrochemical Characteristics

合作研究:固体氧化物燃料电池电极结构演化和电化学特性的综合计算和实验研究

基本信息

项目摘要

NON-TECHNICAL DESCRIPTION: Solid oxide fuel cells, which are currently in early-stage commercialization, provide an important means for clean efficient conversion of fuels to electricity, and electricity to fuels, as well as for electricity storage. More research and development, particularly for understanding long-term durability, are critically needed to achieve widespread application. This study integrates timely and unique approaches to achieve a deep understanding of fuel cell electrode materials performance and degradation, ultimately allowing design of higher performance, longer-lived fuel cells. A key feature of the project is the use of three-dimensional image data to develop and ultimately validate two types of computational models: (1) performance simulations utilizing measured three-dimensional structure are developed and vetted by comparison with experimentally measured electrode performance, and (2) measured changes in electrode structure before and after fuel cell operation are compared directly with simulated structural evolution. Tools developed for 3D imaging, simulation, and data analysis with large data sets are relevant to many other materials systems. The results are relevant to many communities, ranging from modelers who can utilize three-dimensional data and simulation methods, to industrial developers who can use the results to help improve their fuel cells.TECHNICAL DETAILS: This project aims to study solid oxide fuel cell performance and long-term stability, utilizing three-dimensional imaging of fuel cell structure using state-of-the-art electron and x-ray microscopy methods, combined with three-dimensional simulations of electrode performance and structural evolution. The present research provides a critical fundamental understanding of degradation processes, complementing more practical studies, e.g., long-term fuel cell stack tests, being carried out in industry. It is incredibly valuable to develop simulation models based on experimentally observed microstructural changes, and then apply them to accurately predict long-term (5 years) electrode evolution and associated performance changes. Furthermore, this combination of 3D microstructures, validated simulation tools, and computationally intensive data analysis provides a transformational framework for design and discovery of electrode materials that includes not only performance, but also durability. Graduate and undergraduate students receive unique training ? while each student focuses mainly on experimental or computational aspects, exchange visits between campuses provide direct experience in both areas. Students also work directly with researchers at Argonne and Brookhaven national laboratories using state-of-the-art three-dimensional imaging facilities. Educational and outreach activities focused on K-12 students and the general public are also being actively carried out.
非技术描述:目前处于早期商业化阶段的固体氧化物燃料电池为清洁高效地将燃料转化为电能、将电能转化为燃料以及用于电力储存提供了重要手段。为了实现广泛的应用,迫切需要更多的研究和开发,特别是在了解长期耐久性方面。这项研究整合了及时和独特的方法,以实现对燃料电池电极材料性能和降解的深入了解,最终使设计出更高性能、更长寿命的燃料电池成为可能。该项目的一个主要特点是利用三维图像数据开发并最终验证两种类型的计算模型:(1)利用测量的三维结构进行性能模拟,并与实验测量的电极性能进行比较;(2)将测量的电极结构在运行前后的变化与模拟的结构演变直接进行比较。为大数据集的3D成像、模拟和数据分析开发的工具与许多其他材料系统相关。技术细节:这个项目旨在研究固体氧化物燃料电池的性能和长期稳定性,利用最先进的电子和X射线显微镜方法对燃料电池结构进行三维成像,结合电极性能和结构演变的三维模拟。本研究提供了对降解过程的重要的基本了解,补充了更多的实际研究,例如正在工业中进行的长期燃料电池堆测试。根据实验观察到的微结构变化开发模拟模型,然后将其应用于准确预测长期(5年)的电极演变和相关的性能变化,这是非常有价值的。此外,3D微结构、经过验证的模拟工具和计算密集型数据分析的组合为电极材料的设计和发现提供了一个变革性的框架,不仅包括性能,还包括耐用性。研究生和本科生是否接受独特的培训?虽然每个学生主要集中在实验或计算方面,但校园之间的交流访问提供了这两个领域的直接经验。学生们还使用最先进的三维成像设备与阿贡和布鲁克海文国家实验室的研究人员直接合作。还在积极开展以K-12学生和普通公众为重点的教育和外联活动。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Katsuyo Thornton其他文献

Teaching Computational Methods for Materials Discovery and Design
  • DOI:
    10.1007/s11837-023-05923-2
  • 发表时间:
    2023-06-02
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Timothy Chambers;Katsuyo Thornton;Wenhao Sun
  • 通讯作者:
    Wenhao Sun
The origin of the superior fast-charging performance of hybrid graphite/hard carbon anodes for Li-ion batteries
锂离子电池混合石墨/硬碳负极卓越快充性能的起源
  • DOI:
    10.1016/j.ensm.2025.104053
  • 发表时间:
    2025-03-01
  • 期刊:
  • 影响因子:
    20.200
  • 作者:
    Vishwas Goel;Kevin Masel;Kuan-Hung Chen;Ammar Safdari;Neil P. Dasgupta;Katsuyo Thornton
  • 通讯作者:
    Katsuyo Thornton
New frontiers for the materials genome initiative
材料基因组计划的新前沿
  • DOI:
    10.1038/s41524-019-0173-4
  • 发表时间:
    2019-04-05
  • 期刊:
  • 影响因子:
    11.900
  • 作者:
    Juan J. de Pablo;Nicholas E. Jackson;Michael A. Webb;Long-Qing Chen;Joel E. Moore;Dane Morgan;Ryan Jacobs;Tresa Pollock;Darrell G. Schlom;Eric S. Toberer;James Analytis;Ismaila Dabo;Dean M. DeLongchamp;Gregory A. Fiete;Gregory M. Grason;Geoffroy Hautier;Yifei Mo;Krishna Rajan;Evan J. Reed;Efrain Rodriguez;Vladan Stevanovic;Jin Suntivich;Katsuyo Thornton;Ji-Cheng Zhao
  • 通讯作者:
    Ji-Cheng Zhao
Phase-Field Modeling and Simulations of Lipid Membranes Coupling Composition with Membrane Mechanical Properties
  • DOI:
    10.1016/j.bpj.2009.12.1536
  • 发表时间:
    2010-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Chloe M. Funkhouser;Francisco J. Solis;Katsuyo Thornton
  • 通讯作者:
    Katsuyo Thornton
Enhancing polycrystalline-microstructure reconstruction from X-ray diffraction microscopy with phase-field post-processing
  • DOI:
    10.1016/j.scriptamat.2024.116228
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Marcel Chlupsa;Zachary Croft;Katsuyo Thornton;Ashwin J. Shahani
  • 通讯作者:
    Ashwin J. Shahani

Katsuyo Thornton的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Katsuyo Thornton', 18)}}的其他基金

Summer School for Integrated Computational Materials Education
综合计算材料教育暑期学校
  • 批准号:
    2213806
  • 财政年份:
    2022
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Elements: Data Driven Autonomous Thermodynamic and Kinetic Model Builder for Microstructural Simulations
元素:用于微观结构模拟的数据驱动自主热力学和动力学模型构建器
  • 批准号:
    2209423
  • 财政年份:
    2022
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Probing the Evolution of Granular Microstructures during Dynamic Annealing via Integrated Three-Dimensional Experiments and Simulations
通过集成三维实验和模拟探讨动态退火过程中颗粒微观结构的演变
  • 批准号:
    2104786
  • 财政年份:
    2021
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Continuing Grant
Harnessing Abnormal Grain Growth for the Production of Single Crystals
利用异常晶粒生长来生产单晶
  • 批准号:
    2003719
  • 财政年份:
    2020
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
GOALI: Collaborative Research: An Experimental and Theoretical Study of the Microstructural and Electrochemical Stability of Solid Oxide Cells
GOALI:协作研究:固体氧化物电池微观结构和电化学稳定性的实验和理论研究
  • 批准号:
    1912151
  • 财政年份:
    2019
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Continuing Grant
FRG: Predictive Computational Modeling of Two-Dimensional Materials Beyond Graphene: Defects and Morphologies
FRG:石墨烯以外的二维材料的预测计算模型:缺陷和形态
  • 批准号:
    1507033
  • 财政年份:
    2015
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Continuing Grant
Collaborative Research: Summer School for Integrated Computational Materials Education
合作研究:综合计算材料教育暑期学校
  • 批准号:
    1410461
  • 财政年份:
    2014
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Continuing Grant
FRG: Development and Validation of Novel Computational Tools for Modeling the Growth and Self-Assembly of Crystalline Nanostructures
FRG:用于模拟晶体纳米结构的生长和自组装的新型计算工具的开发和验证
  • 批准号:
    1105409
  • 财政年份:
    2011
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Summer School for Integrated Computational Materials Education
综合计算材料教育暑期学校
  • 批准号:
    1058314
  • 财政年份:
    2010
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: Three-Dimensional Microstructural and Chemical Mapping of Solid Oxide Fuel Cell Electrodes: Processing, Structure, Stability, and Electrochemistry
合作研究:固体氧化物燃料电池电极的三维微观结构和化学测绘:加工、结构、稳定性和电化学
  • 批准号:
    0907030
  • 财政年份:
    2009
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
  • 批准号:
    2331294
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
  • 批准号:
    2331710
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
  • 批准号:
    2331711
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
  • 批准号:
    2409395
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
  • 批准号:
    2332661
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication
合作研究:NSF-AoF:CIF:小型:用于集成传感和通信的人工智能辅助波形和波束成形设计
  • 批准号:
    2326622
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
  • 批准号:
    2331295
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: Extreme Mechanics of the Human Brain via Integrated In Vivo and Ex Vivo Mechanical Experiments
合作研究:通过体内和离体综合力学实验研究人脑的极限力学
  • 批准号:
    2331296
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
  • 批准号:
    2332662
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
Collaborative Research: Integrated Materials-Manufacturing-Controls Framework for Efficient and Resilient Manufacturing Systems
协作研究:高效、弹性制造系统的集成材料制造控制框架
  • 批准号:
    2346650
  • 财政年份:
    2024
  • 资助金额:
    $ 40.72万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了