REU Site: Discovery by Computation, Theory and Experiment

REU 站点:通过计算、理论和实验发现

基本信息

  • 批准号:
    1659823
  • 负责人:
  • 金额:
    $ 30.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-05-01 至 2020-04-30
  • 项目状态:
    已结题

项目摘要

Professors Jeffrey Evanseck, Jeffry Madura, and colleagues of Duquesne University host an REU site supported by the REU Sites Program of the NSF Division of Chemistry. This site impacts the professional chemistry careers and education of undergraduates and faculty from institutions with limited research infrastructure as well as those from underrepresented populations. This is achieved through establishment of meaningful, year-round, and long-term research collaborations driven by the need for academic productivity and excellence in undergraduate training. The model builds research teams of student-faculty pairs recruited from Primarily Undergraduate Institutions (PUIs), Historically Black Colleges (HBCs) and the Louis Stokes Alliances for Minority Participation (LSAMP) institutions. These collaborators are integrated with extramurally funded research groups from Duquesne. The model is proven to perpetuate itself, where invested collaborations ultimately mature to independent funding. The broader impacts of this work include meaningful research experiences to attract and retain the nation's diverse student talent pool. This will have the consequence of enhancing and diversifying the U.S. workforce by adding experts in the fields of chemistry and biochemistry. This project focuses on strong financial and infrastructure support of research collaborations that invigorate faculty from PUIs, HBCs, and LSAMP institutions. These faculty in turn directly impact students and learning environments at their home institutions. REU students have novel chemical research experiences in exciting and broad scientific themes, such as nanotechnology, homeland security, pharmaceutical drug design, forensic sciences, and chemical biology. Each student works directly with two faculty mentors in the laboratory (from the home institution and Duquesne). Students also consult with a theoretical faculty liaison, since each REU project is supplemented by well-defined computational components to expand the students' experience. REU students receive explicit training to reinforce the scientific method, scientific writing and speaking, ethics, safety, and workshops on state-of-the-art instrumentation to complement their experimental research and build invaluable skill sets. Each student has the opportunity to present their research locally, regionally, and nationally to expand their professional exposure and networking to make more informed career decisions and best prepare for graduate school.
杜肯大学的杰弗里·埃文塞克 (Jeffrey Evanseck) 教授、杰弗里·马杜拉 (Jeffry Madura) 教授及其同事主持了一个 REU 站点,该站点得到了 NSF 化学部 REU 站点计划的支持。该网站影响着研究基础设施有限的机构以及代表性不足的人群的本科生和教师的专业化学职业和教育。这是通过在学术生产力和卓越的本科生培训需求的推动下建立有意义的、全年的和长期的研究合作来实现的。该模型建立了由从主要本科院校 (PUI)、历史黑人学院 (HBC) 和路易斯斯托克斯少数族裔参与联盟 (LSAMP) 机构招募的师生对组成的研究团队。这些合作者与杜肯大学外部资助的研究小组整合在一起。事实证明,该模式可以长期存在,投资合作最终会成熟为独立融资。这项工作的更广泛影响包括有意义的研究经验,以吸引和留住国家多元化的学生人才库。这将通过增加化学和生物化学领域的专家来增强美国劳动力并使其多样化。该项目的重点是为研究合作提供强有力的财政和基础设施支持,以激励 PUI、HBC 和 LSAMP 机构的教师。这些教师反过来又直接影响学生及其所在机构的学习环境。 REU 学生在纳米技术、国土安全、药物设计、法医学和化学生物学等令人兴奋且广泛的科学主题方面拥有新颖的化学研究经验。每个学生直接与实验室的两名导师(来自母校和杜肯大学)一起工作。学生还可以咨询理论教员联络员,因为每个 REU 项目都辅以明确定义的计算组件,以扩展学生的经验。 REU 学生接受明确的培训,以强化科学方法、科学写作和演讲、伦理、安全,并参加最先进仪器的研讨会,以补充他们的实验研究并建立宝贵的技能。每个学生都有机会在当地、地区和全国范围内展示他们的研究成果,以扩大他们的专业视野和人际网络,从而做出更明智的职业决策,并为研究生院做好最好的准备。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Chemical Shift Tensors of Cimetidine Form A Modeled with Density Functional Theory Calculations: Implications for NMR Crystallography
  • DOI:
    10.1021/acs.jpca.0c00421
  • 发表时间:
    2020-04-23
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Holmes, Sean T.;Engl, Olivia G.;Iuliucci, Robbie J.
  • 通讯作者:
    Iuliucci, Robbie J.
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Jeffrey Evanseck其他文献

Jeffrey Evanseck的其他文献

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{{ truncateString('Jeffrey Evanseck', 18)}}的其他基金

REU Site: Integration of Chemical Theory, Computation and Experiment at Duquesne University
REU 网站:杜肯大学化学理论、计算和实验的整合
  • 批准号:
    2244151
  • 财政年份:
    2023
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
REU Site: Integration of Chemical Theory, Computation and Experiment at Duquesne University
REU 网站:杜肯大学化学理论、计算和实验的整合
  • 批准号:
    1950585
  • 财政年份:
    2020
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
MRI: SusChEM: Acquisition of a hybrid distributed computer system to enhance integration of chemical theory, computation, and experimental research at Duquesne University
MRI:SusChEM:购买混合分布式计算机系统,以增强杜肯大学化学理论、计算和实验研究的集成
  • 批准号:
    1726824
  • 财政年份:
    2017
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
Integrated Computational and Experimental REU Site
综合计算和实验 REU 站点
  • 批准号:
    1263279
  • 财政年份:
    2013
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
Chemistry REU Leadership Group
化学 REU 领导小组
  • 批准号:
    1258759
  • 财政年份:
    2013
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
Scholarships for Academically Talented and Financially Disadvantaged Undergraduate and Graduate Students
为学术优秀且经济困难的本科生和研究生提供奖学金
  • 批准号:
    1259941
  • 财政年份:
    2013
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
MRI: Acquisition of Large Shared Memory Supercomputer at Duquesne University
MRI:杜肯大学购买大型共享内存超级计算机
  • 批准号:
    1126465
  • 财政年份:
    2011
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant
Integrated Computational and Experimental REU/DoD Site
综合计算和实验 REU/DoD 站点
  • 批准号:
    1005145
  • 财政年份:
    2010
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Continuing Grant
Research Experiences for Undergraduates: Integrated Computational and Experimental REU Site at Duquesne University
本科生研究经验:杜肯大学综合计算和实验 REU 站点
  • 批准号:
    0649182
  • 财政年份:
    2007
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Continuing Grant
MRI: Acquisition of Large Shared-Memory Computing for the Center for Computational Sciences at Duquesne University
MRI:为杜肯大学计算科学中心采购大型共享内存计算
  • 批准号:
    0723109
  • 财政年份:
    2007
  • 资助金额:
    $ 30.38万
  • 项目类别:
    Standard Grant

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REU 站点:IDEA 多孔材料孵化器:融合发现、工程和艺术
  • 批准号:
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REU 网站:发现的未来:培训学生构建和应用开源机器学习模型和工具
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