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Hydrogen evolution reaction of microwave-synthesized pristine and metal-doped molybdenum carbides: Insights from electrochemical modeling and in situ visualization

Hydrogen evolution reaction of microwave-synthesized pristine and metal-doped molybdenum carbides: Insights from electrochemical modeling and in situ visualization
微波合成的原始和金属掺杂碳化钼的析氢反应:电化学建模和原位可视化的见解
批准号:
2130804
负责人:
Wissam Saidi
金额:
$49.43万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-01-15 至 2024-12-31

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中文摘要
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英文摘要
Increasing energy demands, combined with urgency to decrease greenhouse gas emissions, has spurred research and development of sustainable chemical and fuels technologies. Hydrogen is an essential component of many fuels and chemicals. Catalysts play a central role in the sustainable production of hydrogen by facilitating hydrogen generation via electrochemical splitting of water molecules, by a process known as the Hydrogen Evolution Reaction (HER). Over the past few years, rapid progress has been made in catalyzing hydrogen evolution using low-cost molybdenum carbide materials, with recently reported activities rivaling those of the optimum, but precious, platinum catalysts. The project will continue to advance research and development of molybdenum carbide catalysts through a coordinated theoretical and experimental approach supported by advanced characterization techniques. Specific goals include 1) deeper mechanistic understanding of the surface-catalyzed hydrogen evolution reaction as promoted by both pure and metal-doped metal carbide materials, 2) elucidation of catalyst surface structure and composition under reaction conditions, and 3) identification of catalyst structures and compositions that demonstrate exceptional stability and durability with time-in-service. Project outcomes will extend beyond the hydrogen evolution reaction to uncover broader governing principles that can be used to understand a wide variety of electrochemical transformations related to applications such as battery technology and fuel cells. The project will promote training of new generations of scientists and engineers by offering opportunities for both graduate and undergraduate students - particularly for those from underrepresented groups - to participate in “green” energy research.Molybdenum carbide nanoparticles of various stoichiometry (i.e., Mo(y)C) will be synthesized using a microwave reaction and sol-gel process. The electrochemical performance with and without metal dopants will be systematically examined. Transmission electron microscopy imaging, diffraction, and spectroscopy - energy-dispersive X-ray (EDS) and electron energy-loss (EELS) - will be employed to elucidate the reactivity-structure relationships of the catalysts down to the atomic scale. Environmental transmission electron microscopy (ETEM) will enable these structural dynamics to be studied in real-time under relevant reaction conditions. Ambient-pressure X-ray photoelectron spectroscopy (AP­XPS) and Raman spectroscopy will be utilized to establish a correlation between surface chemistry and reactivity. In situ characterization will be closely coordinated with kinetic measurements, and experimental conditions for lowering the anodic overpotential of the water electrolysis reaction. This will provide critical input for density functional theory (DFT) electrochemical simulations employing constrained thermodynamics to determine the surface composition/structure of the catalyst under the HER conditions including thermodynamic/kinetic limitations. Furthermore, the theory will complement the experiments by elucidating the HER mechanisms, active sites, and rate-limiting steps, which will guide the design of catalysts for water electrolysis. The research will be integrated into educational efforts via development of new course components and novel education modules that emphasize the importance of integrated theoretical and experimental efforts to design new materials tailored for the sustainable manufacturing of fuels and chemicals.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(5)
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科研奖励(0)
会议论文
DOI: 10.1002/elsa.202100224
发表时间: 2022-08
期刊: Electrochemical Science Advances
影响因子: --
作者: [W. Saidi;Tarak N. Nandi;Timothy T. Yang]
通讯作者: W. Saidi;Tarak N. Nandi;Timothy T. Yang
Reconciling the Volcano Trend with the Butler–Volmer Model for the Hydrogen Evolution Reaction
协调火山趋势与析氢反应的巴特勒·沃尔默模型
DOI: 10.1021/acs.jpclett.2c01411
发表时间: 2022
期刊: The Journal of Physical Chemistry Letters
影响因子: --
作者: [Yang, Timothy T., Saidi, Wissam A.]
通讯作者: Saidi, Wissam A.
Atomistic Mechanisms of Binary Alloy Surface Segregation from Nanoseconds to Seconds Using Accelerated Dynamics
使用加速动力学从纳秒到秒的二元合金表面偏析的原子机制
DOI: 10.1021/acs.jctc.2c00303
发表时间: 2022
期刊: Journal of Chemical Theory and Computation
影响因子: 5.5
作者: [Garza, Richard B., Lee, Jiyoung, Nguyen, Mai H., Garmon, Andrew, Perez, Danny, Li, Meng, Yang, Judith C., Henkelman, Graeme, Saidi, Wissam A.]
通讯作者: Saidi, Wissam A.
Elements: DeepPDB: An open-source automated framework to enable high-fidelity atomistic simulations in unexplored material space
  • 批准号:
    2003808
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2020
  • 负责人:
    Wissam Saidi
  • 依托单位:
Collaborative Research: Two-Dimensional Substrates to Study and Control the Atomic-Scale Structure of Metal Nanoclusters
  • 批准号:
    1809085
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.75万
  • 财政年份:
    2018
  • 负责人:
    Wissam Saidi
  • 依托单位:
Dynamic Atomic-scale Metal Oxidation to Correlate with Multi-scale Simulations
  • 批准号:
    1508417
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2015
  • 负责人:
    Wissam Saidi
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位:
镍基UNS N10003合金辐照位错环演化机制及其对力学性能的影响研究
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
发展/减排路径(SSPs/RCPs)下中国未来人口迁移与集聚时空演变及其影响
  • 批准号:
    19ZR1415200
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2019
  • 负责人:
    夏海斌
  • 依托单位: