Coarse-Grained Modelling and Synthesis of Structurally Stable Defect-Engineered Metal-Organic Frameworks

结构稳定的缺陷工程金属有机框架的粗粒度建模和合成

基本信息

  • 批准号:
    2139237
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Fellowship Award
  • 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

This award is made as part of the FY 2021 Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowships (MPS-Ascend). Each fellowship supports a research and training project at a host institution in the mathematical and physical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist. This fellowship to Dr. Scott Reum supports his research project entitled "Coarse-Grained Modelling and Synthesis of Structurally Stable Defect-Engineered Metal-Organic Frameworks." The host institution for the fellowship is Cornell University, and the sponsoring scientists are Dr. Julia Dshemuchadse and Phillip Milner. Dr. Scott Rem, will conduct research on Metal-Organic Frameworks (MOF). The proposed project consists of three specific aims: 1) Build a coarse-grained modeling framework for MOFs with geometrically mismatched dopants; 2) Synthesize defect-engineered MOFs and characterize their structural properties; 3) Compare different local disorder motif geometries. The self-assembly of framework structures will be simulated with a coarse-grained model via molecular dynamics. Informed by the computational results, defect-engineered metal–organic frameworks will be synthesized via solvothermal synthesis, after which they will be structurally characterized by x-ray diffraction and electron microscopy techniques. The geometries of different disorder motifs will be investigated using both computational and experimental approaches, while the functional properties of the defect-engineered compounds will be characterized using spectroscopic methods. The mismatched defect-containing materials prepared as part of this program will greatly expand the structural motifs and functional properties that can be unlocked using this promising class of materials.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.
该奖项是作为2021财年数学和物理科学上升博士后研究奖学金(MPS-Ascend)的一部分。每项研究金在一名赞助科学家的指导下,支助在一个东道机构进行的数学和物理科学研究和培训项目,包括应用于其他学科。Scott Reum博士的奖学金支持他的研究项目“结构稳定缺陷工程金属有机框架的粗粒建模和合成”。“该研究金的主办机构是康奈尔大学,赞助科学家是朱莉娅·德舍穆查兹博士和菲利普米尔纳。 Scott Rem博士将对金属有机框架(MOF)进行研究。该项目包括三个具体目标:1)构建一个几何失配掺杂的MOFs粗粒度建模框架; 2)合成缺陷工程MOFs并表征其结构特性; 3)比较不同的局部无序基序几何结构。框架结构的自组装将通过分子动力学用粗粒度模型进行模拟。根据计算结果,将通过溶剂热合成来合成缺陷工程金属有机框架,之后将通过X射线衍射和电子显微镜技术对其进行结构表征。不同的无序图案的几何形状将使用计算和实验方法进行研究,而缺陷工程化合物的功能特性将使用光谱方法进行表征。作为该计划的一部分,不匹配的含缺陷材料将极大地扩展使用这类有前途的材料可以解锁的结构图案和功能特性。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 }}

Reum Scott其他文献

Reum Scott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 }}

相似海外基金

AIGMob: Conditional Generative AI for Fine-grained Urban Mobility Simulation
AIGMob:用于细粒度城市交通模拟的条件生成人工智能
  • 批准号:
    24K02996
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Fine-grained music source separation with deep learning models
利用深度学习模型进行细粒度音乐源分离
  • 批准号:
    10107090
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Collaborative R&D
RII Track-4:NSF: Federated Analytics Systems with Fine-grained Knowledge Comprehension: Achieving Accuracy with Privacy
RII Track-4:NSF:具有细粒度知识理解的联合分析系统:通过隐私实现准确性
  • 批准号:
    2327480
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Stronger, coarser-grained biodegradable zinc alloys
强度更高、颗粒更粗的可生物降解锌合金
  • 批准号:
    DP240102498
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Discovery Projects
Collaborative Research: SII-NRDZ: SweepSpace: Enabling Autonomous Fine-Grained Spatial Spectrum Sensing and Sharing
合作研究:SII-NRDZ:SweepSpace:实现自主细粒度空间频谱感知和共享
  • 批准号:
    2348589
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CAREER: Distances and matchings under the lens of fine-grained complexity
职业:细粒度复杂性镜头下的距离和匹配
  • 批准号:
    2337901
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Coarse-Grained Modelling of DNA-Protein Interactions
DNA-蛋白质相互作用的粗粒度建模
  • 批准号:
    2888934
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Studentship
Postdoctoral Fellowship: MPS-Ascend: Coarse-Grained Modeling of Aggrecan- Mimetic Copolymers: Polymer Design and Architecture Effects on Structure and Phase Behavior
博士后奖学金:MPS-Ascend:聚集蛋白聚糖模拟共聚物的粗粒度建模:聚合物设计和结构对结构和相行为的影响
  • 批准号:
    2316666
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Fellowship Award
SHF: Small: Domain-Specific FPGAs to Accelerate Unrolled DNNs with Fine-Grained Unstructured Sparsity and Mixed Precision
SHF:小型:特定领域 FPGA 加速具有细粒度非结构化稀疏性和混合精度的展开 DNN
  • 批准号:
    2303626
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Towards Real-Time Fine-Grained Tracking in Distributed Large-Scale RF Tag Systems
实现分布式大规模射频标签系统中的实时细粒度跟踪
  • 批准号:
    2225337
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了