CAREER: Computational Design of High-Performing V2O5 Cathodes for Zn-ion batteries

职业:锌离子电池高性能 V2O5 阴极的计算设计

基本信息

项目摘要

NONTECHNICAL SUMMARYLithium-ion batteries, with their high-energy density, high-discharge voltage, and relatively low cost, have been the battery of choice for a wide variety of applications, including portable consumer electronics, hybrid- and all-electric cars, and grid-scale energy storage. However, these batteries also come with drawbacks: potential safety issues and growing concerns regarding the availability of lithium and of the cathode materials. As an alternative, zinc-ion-based batteries with vanadium oxides as cathode material have emerged as a promising safe and cost-efficient option for grid-scale storage. With this CAREER award, the PI will employ state-of-the-art computational modeling approaches to design the most stable cathode material for zinc ions, thereby improving the performance and longevity of zinc-ion batteries. Such progress will benefit society because more intermittent green energy sources, like wind and solar, can be included in the electricity grid in a cost-efficient, reliable, and safe manner. This award also supports the PI's educational and outreach activities. The PI will train high school, undergraduate, and graduate students in research competencies, increase their computational proficiency, provide them with a better understanding of and confidence in the scientific method, and improve skills like critical thinking, problem solving, and presenting results. With this training, students will be better equipped to succeed in a wide variety of academic and non-academic careers. The educational components will directly contribute to an increase in the diversity of the STEM fields, and of physics in particular, through a combination of outreach, research opportunities for high school and undergraduate students, and an increase of underrepresented students admitted to PhD programs. TECHNICAL SUMMARYFor grid-scale storage, Zn-ion-based batteries with vanadium oxides as cathode material have emerged as a promising safe and cost-efficient alternative to Li-ion batteries, but fundamental knowledge of the properties of vanadium oxides is still lacking, which hinders progress in the field. This award supports theoretical and computational research and education with an aim to advance fundamental understanding of the physics and chemistry of the atomistic processes taking place in vanadium oxides during growth (point defects and defect complexes) and during de/intercalation (defects and interactions between defects, Zn ions, and polarons). The team will study co-intercalation, considering both dry and aqueous conditions. Degradation processes, such as detrimental phase transitions and structural degradation, will also be investigated, and deliberate doping will be explored to potentially mitigate these processes. The team will employ hybrid functional first-principles calculations, molecular dynamics (MD) simulations, machine-learned Gaussian Processes to accelerate MD simulations and the construction of phase diagrams, and a "color" charge method to accelerate MD simulations of intercalation and deintercalation. The fundamental knowledge gained is expected to lead to rational design rules to improve battery performance and shed light on experimental observations by providing insights into the physics and chemistry of the cathode at an atomic scale.This project is jointly funded by the Condensed Matter and Materials Theory program of the Division of Materials Research and the Established Program to Stimulate Competitive Research (EPSCoR).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.
非技术概述锂离子电池具有高能量密度、高放电电压和相对较低的成本,已成为各种应用的首选电池,包括便携式消费电子产品、混合动力和全电动汽车以及电网规模的能量存储。然而,这些电池也有缺点:潜在的安全问题以及对锂和阴极材料可用性的日益担忧。作为替代方案,以钒氧化物为阴极材料的锌离子电池已成为电网规模存储的一种有前途的安全和成本效益的选择。凭借这一CAREER奖项,PI将采用最先进的计算建模方法来设计最稳定的锌离子阴极材料,从而提高锌离子电池的性能和寿命。这种进步将使社会受益,因为更多的间歇性绿色能源,如风能和太阳能,可以以成本效益高、可靠和安全的方式纳入电网。该奖项还支持PI的教育和推广活动。PI将培训高中,本科和研究生的研究能力,提高他们的计算能力,为他们提供更好的理解和对科学方法的信心,并提高批判性思维,解决问题和展示结果等技能。通过这种培训,学生将更好地准备在各种学术和非学术职业中取得成功。教育部分将直接有助于增加STEM领域的多样性,特别是物理学,通过外展,高中和本科生的研究机会,以及博士课程录取的代表性不足的学生的增加。对于电网规模的存储,以钒氧化物作为阴极材料的锌离子电池已经成为锂离子电池的有前途的安全和成本效益的替代品,但仍然缺乏对钒氧化物性质的基础知识,这阻碍了该领域的进展。该奖项支持理论和计算研究和教育,旨在促进对钒氧化物在生长(点缺陷和缺陷复合物)和脱嵌(缺陷和缺陷,锌离子和极化子之间的相互作用)过程中发生的原子过程的物理和化学的基本理解。该团队将研究共插层,同时考虑干燥和含水条件。退化过程,如有害的相变和结构退化,也将被调查,故意掺杂将被探索,以潜在地减轻这些过程。该团队将采用混合功能第一原理计算,分子动力学(MD)模拟,机器学习高斯过程来加速MD模拟和相图的构建,以及“颜色”电荷方法来加速嵌入和脱嵌的MD模拟。获得的基础知识有望导致合理的设计规则,以提高电池性能,并通过在原子尺度上提供对阴极物理和化学的见解来阐明实验观察。该项目由材料研究部的凝聚态物质和材料理论计划和刺激竞争研究的既定计划(EPSCoR)共同资助。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标准进行评估,被认为值得支持。

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 }}

Hartwin Peelaers其他文献

Hartwin Peelaers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('Hartwin Peelaers', 18)}}的其他基金

REU SITE: University of Kansas Physics and Astronomy Research Experiences for Undergraduates
REU 网站:堪萨斯大学本科生物理和天文学研究经验
  • 批准号:
    2149897
  • 财政年份:
    2022
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant

相似国自然基金

Computational Methods for Analyzing Toponome Data
  • 批准号:
    60601030
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

CAREER: Computational Design of Single-Atom Sites in Alloy Hosts as Stable and Efficient Catalysts
职业:合金主体中单原子位点的计算设计作为稳定和高效的催化剂
  • 批准号:
    2340356
  • 财政年份:
    2024
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
CAREER: Computational Design of Fluorescent Proteins with Multiscale Excited State QM/MM Methods
职业:利用多尺度激发态 QM/MM 方法进行荧光蛋白的计算设计
  • 批准号:
    2338804
  • 财政年份:
    2024
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
CAREER: Development of Adaptive and Efficient Computational Inverse Design Methods for Organic Functional Materials
职业:有机功能材料自适应高效计算逆向设计方法的开发
  • 批准号:
    2339804
  • 财政年份:
    2023
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Standard Grant
CAREER: Computational design of nanophotonic reagents
职业:纳米光子试剂的计算设计
  • 批准号:
    2307007
  • 财政年份:
    2022
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Standard Grant
CAREER: Automated Synthesis of Compound Machines Using Computational Design Optimization
职业:使用计算设计优化自动合成复合机器
  • 批准号:
    2311078
  • 财政年份:
    2022
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Standard Grant
CAREER: Computational and Experimental Mechanistic Approach to Iron Catalyst and Reaction Design
职业:铁催化剂和反应设计的计算和实验机理方法
  • 批准号:
    2221728
  • 财政年份:
    2022
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
CAREER: Computational design of sustainable hydrogenation systems via a novel combination of data science, optimization, and ab initio methods
职业:通过数据科学、优化和从头算方法的新颖组合进行可持续加氢系统的计算设计
  • 批准号:
    2045550
  • 财政年份:
    2021
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
CAREER: Computational design of nanophotonic reagents
职业:纳米光子试剂的计算设计
  • 批准号:
    2043215
  • 财政年份:
    2021
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Standard Grant
CAREER: Computational work design: How networked, intelligent technologies are changing organizational design and worker experience
职业:计算工作设计:网络化智能技术如何改变组织设计和员工体验
  • 批准号:
    1847091
  • 财政年份:
    2019
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
CAREER: Computational Design for Robust Legged Robots
职业:强健腿机器人的计算设计
  • 批准号:
    1845339
  • 财政年份:
    2019
  • 资助金额:
    $ 50.46万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了