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MRI: Acquisition of a Supercomputer to Enable Advanced Computational Science and Engineering Research and Education in Missouri

MRI: Acquisition of a Supercomputer to Enable Advanced Computational Science and Engineering Research and Education in Missouri
MRI:购买超级计算机以支持密苏里州的高级计算科学与工程研究和教育
批准号:
1919789
负责人:
Thomas Vojta
金额:
$196.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2021-09-30

项目摘要

项目成果

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中文摘要
翻译
这个重大研究仪器(MRI)项目将获得并部署一个异构型高性能计算(HPC)系统。该仪器使高性能计算机在密苏里州的能力得以戏剧性的扩展。该中心位于罗拉的密苏里科技大学校园,连接了几个合作机构,因此将对密苏里州的研究和培训活动产生变革性和广泛的地区性影响。合作伙伴包括密苏里大学(UM)完整的四个校区系统,以及其他机构,包括密苏里州立大学、密苏里东南州立大学、历史上黑人的林肯大学、欧扎克学院等。该设施将使十几个研究小组能够在不同的科学领域推进最先进的科学。该项目还将促进合作、培训和教育活动。这项投资提供了新的计算基础设施(最高性能超过400万亿次触点),以促进与先进材料研究和设计有关的几个核心领域的科学发展,这些领域跨越许多长度尺度,从基础到应用。物理和化学领域的项目在很大程度上依赖于计算来理解和预测粒子系统的量子动力学,从而解释和预测物质的奇异状态的存在和行为。数学和统计学中的计算模型包括研究和优化空间中的带电等离子体推进;它还扩展到DNA甲基化的生物学研究中,这增加了我们对植物(食物来源)和人类(包括癌症)中各种疾病的了解。另一个将立即受益的领域是计算和数据驱动的地球物理学,它涉及开发对人类社会福祉至关重要的工具,包括预测和减轻地震和火山等自然灾害,以及石油和其他自然资源的勘探和开发。其他项目包括为高速飞机和航天器的设计和优化做出贡献的计算高超声速流体力学。除了支持和大大加强一些具体的研究项目,每个项目都有利于广泛的社区和一般社会,该项目更广泛的影响的一个重要部分来自培训和教育领域,以及在STEM中代表不足的社区的更多参与。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Major Research Instrumentation (MRI) project will acquire and deploy a heterogenous high performance computing (HPC) system. The instrument enables the dramatic expansion of a HPC capabilities in the state of Missouri. Located on the campus of the Missouri University of Science and Technology in Rolla, the center connects several partner institutions, and thus will have a transformative and broad regional impact on research and training activities across the state of Missouri. Partners include the full four-campus University of Missouri (UM) System, and other institutions including Missouri State University, Southeast Missouri State University, historically black Lincoln University, College of the Ozarks, and others. The facility will enable over a dozen research groups to advance state-of-the-art science in a variety of science areas. The project will also promote collaboration, training and educational activities.This investment provides new computational infrastructure (with a peak performance of more than 400 TFlops) necessary to advance science in several core areas relating to the study and design of advanced materials, spanning many length scales and ranging from fundamental to applied. Projects in the fields of Physics and Chemistry depend heavily on computation to understand and predict the quantum dynamics of systems of particles leading to the interpretation and prediction of the existence and behavior of exotic states of matter. Computational modeling in Mathematics and Statistics includes studying and optimizing charged plasma propulsion in space; it also extends into Biological investigations of DNA methylation which increases our understanding of a variety of diseases in plants (food sources) and humans (including cancer). Another area that will see immediate benefit is that of computation and data-driven Geophysics which involves the development of tools that are essential for the well-being of human society, including predicting and mitigating natural hazards such as earthquakes and volcanoes, as well as exploration and development of petroleum and other natural resources. Other projects include computational hypersonic fluid dynamics contributing to the design and optimization of high-speed aircraft and space vehicles. In addition to enabling and greatly enhancing a number of specific research projects, each of which benefits broad communities and society in general, a significant part of the broader impact of this project comes from the areas of training and education and increasing participation of communities underrepresented in STEM.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(32)
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会议论文
The Role of Cation Coordination in the Electrical and Optical Properties of Amorphous Transparent Conducting Oxides
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DOI: 10.1021/acs.chemmater.0c01672
发表时间: 2020
期刊: Chemistry of Materials
影响因子: 8.6
作者: [Husein, Sebastian, Medvedeva, Julia E., Perkins, John D., Bertoni, Mariana I.]
通讯作者: Bertoni, Mariana I.
Crustal azimuthal anisotropy and deformation beneath the northeastern Tibetan Plateau and adjacent areas: Insights from receiver function analysis
青藏高原东北部及邻近地区地壳方位各向异性和变形:接收函数分析的见解
DOI: 10.1016/j.tecto.2021.229014
发表时间: 2021-10
期刊: Tectonophysics
影响因子: 2.9
作者: [Tuo Zheng, Stephen S. Gao, Zhifeng Ding, Kelly H. Liu, Lijun Chang, Xiaoping Fan, Fansheng Kong, Youqiang Yu]
通讯作者: Youqiang Yu
DOI: 10.1039/d0tc03370g
发表时间: 2020-11
期刊: Journal of Materials Chemistry C
影响因子: 6.4
作者: [J. Medvedeva;Bishal Bhattarai]
通讯作者: J. Medvedeva;Bishal Bhattarai
DOI: 10.1073/pnas.2007897117
发表时间: 2020-08-04
期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子: 11.1
作者: [Huang, Wei, Chien, Po-Hsiu, Facchetti, Antonio]
通讯作者: Facchetti, Antonio
共 25 条
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    海外基金