课题基金 / 基金详情

Integrated Computational and Experimental REU Site

Integrated Computational and Experimental REU Site
综合计算和实验 REU 站点
批准号:
1263279
负责人:
Jeffrey Evanseck
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-15 至 2017-05-31

项目摘要

项目成果

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中文摘要
翻译
该奖项由美国国家科学基金会化学部颁发,支持由杜肯大学教授杰弗里·d·埃万塞克和杰弗里·d·a·马杜拉领导的本科生研究经历项目。主要研究人员将更新他们的新REU网站,以继续其对来自代表性不足的人群和研究基础设施有限的机构的本科生的职业和教育的影响。杜肯大学的本科生研究模式建立了研究团队,其中从历史上的黑人学院和大学(HBCU),路易斯斯托克斯少数民族参与科学,技术,工程和数学联盟(LSAMP)和主要本科机构(PUI)招募的七名学生-教师对与杜肯大学全国认可和外部资助的研究小组相结合。目标是提供高质量的本科研究体验,激励学生和教师达到最高的学术成绩,并为科学研究和发现做好准备。其核心理念是建立有意义的、全年的、长期的研究合作,以促进学术生产力和卓越的本科培训。这种模式被设想为延续下去,投资合作最终成熟为独立资助,并被主办机构和其他参与者之间的新伙伴关系所取代。其假设是,对研究合作的强有力的财政和基础设施支持将激励HBCU、LSAMP和PUI的教师,他们反过来将直接影响学生和他们所在机构的学习环境。迪肯大学的教职员工将培养学生,并从研究扩张中获得不可估量的收益。REU的学生将有意义和新颖的化学研究经验,广泛的科学主题,如纳米技术,国土安全,药物设计,法医学和化学生物学。每个学生将直接与实验室(家庭机构和杜肯大学)的两位教师导师一起工作,并与杜肯大学的理论教师联络进行咨询,因为每个REU项目都有定义明确的计算组件来补充,以扩大学生的经验。杜肯大学拥有非凡的资源,nsf资助的设施,在分子建模方面建立的研究项目,以及在学生安置和牢固的合作伙伴关系方面的良好记录。学生将接受培训,使用最先进的仪器来补充他们的实验研究,并建立宝贵的技能。计划中的活动通过利用有意义的研究经验来吸引和留住美国多样化的学生人才库,从而支持REU计划的意图,这将通过增加化学或生物化学领域的专家来增强和多样化美国劳动力。
英文摘要
This award from the Division of Chemistry at the National Science Foundation supports a Research Experiences for Undergraduates (REU) led by Professors Jeffrey D. Evanseck and Jeffry D. A. Madura, both at Duquesne University. The principal investigators will renew their novel REU Site to continue its impact on the careers and education of undergraduates from underrepresented populations and from institutions with limited research infrastructure. Duquesne's model of undergraduate research builds research teams, where seven student-faculty pairs recruited from Historically Black Colleges and Universities (HBCU), the Louis Stokes Alliance for Minority Participation in Science, Technology, Engineering, and Mathematics (LSAMP), and Primarily Undergraduate Institutions (PUI) are integrated with nationally recognized and extramurally funded research groups from Duquesne University. The objective is to deliver a quality undergraduate research experience that motivates students and faculty to achieve their highest academic performance and prepare them for scientific research and discovery. The core idea is to establish meaningful, year-around, and long-term research collaborations driven by the need for academic productivity and excellence in undergraduate training. The model is envisioned to perpetuate itself, where invested collaborations ultimately mature to independent funding, and are replaced by new partnerships between the host institution and other participants.The hypothesis is that strong financial and infrastructure support of research collaborations will invigorate HBCU, LSAMP, and PUI faculty, who will in turn directly impact students and learning environments at their home institutions. Duquesne faculty will train students, and gain immeasurably from the research expansion. REU students will have meaningful and novel chemical research experiences with broad scientific themes, such as nanotechnology, homeland security, pharmaceutical drug design, forensic sciences and chemical biology. Each student will work directly with two faculty mentors in the laboratory (home institution and Duquesne), and consult with a theoretical faculty liaison from Duquesne, since each REU project is supplemented by well-defined computational components to expand the students' experience. Duquesne has extraordinary resources, NSF-funded facilities, established research programs in molecular modeling, and a proven record in student placement and strong partnerships. The students will be trained to use state-of-the-art instrumentation to complement their experimental research and build invaluable skill sets. The activities planned support the intent of the REU Program by using meaningful research experiences to attract and retain the nation's diverse student talent pool, which will have the consequence of enhancing and diversifying the U.S. workforce by adding experts in the fields of chemistry or biochemistry.
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REU Site: Integration of Chemical Theory, Computation and Experiment at Duquesne University
  • 批准号:
    2244151
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.0万
  • 财政年份:
    2023
  • 负责人:
    Jeffrey Evanseck
  • 依托单位:
REU Site: Integration of Chemical Theory, Computation and Experiment at Duquesne University
  • 批准号:
    1950585
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.0万
  • 财政年份:
    2020
  • 负责人:
    Jeffrey Evanseck
  • 依托单位:
REU Site: Discovery by Computation, Theory and Experiment
  • 批准号:
    1659823
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.38万
  • 财政年份:
    2017
  • 负责人:
    Jeffrey Evanseck
  • 依托单位:
MRI: SusChEM: Acquisition of a hybrid distributed computer system to enhance integration of chemical theory, computation, and experimental research at Duquesne University
  • 批准号:
    1726824
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.51万
  • 财政年份:
    2017
  • 负责人:
    Jeffrey Evanseck
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data