课题基金 / 基金详情

BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, and Disseminate

BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, and Disseminate
BD 辐条:辐条:中西部:协作:集成材料设计 (IMaD):利用、创新和传播
批准号:
1636950
负责人:
Ian Foster
金额:
$72.25万
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
项目状态:
已结题
起止时间:
2017-02-15 至 2022-01-31

项目摘要

项目成果

Ian Foster的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Materials innovation is a pipeline, deriving from a deep understanding and control of material behavior and properties, leading to advanced materials designs that advance economic prosperity, address national and regional energy needs, and bolster national security. Improving this pipeline requires connecting independent but thematically congruent national and regional materials design efforts to align key stakeholders, consolidate diverse materials data expertise, simplify data access, coalesce on topics of data description and interoperability, enhance and ensure the quality of datasets, and deploy scalable data services to support materials researchers. The Midwest Big Data Spoke (MBD Spoke) for Integrative Materials Design (IMaD) connects researchers in industry, universities, and government to the people and services needed to easily find, access, and use data, tools, and services for materials design. The Midwest is the ideal place for such a program. Many major national materials design efforts funded by DOE, NIST, and NSF as part of the Materials Genome Initiative (MGI) operate in the Midwest, and the Midwest is home to major manufacturing industries that depend critically on materials innovation for their continued competitiveness.The technical work of IMaD will involve integration of software and services from across the Midwest and beyond, including the Materials Commons, the Materials Data Facility, NIST Materials Resource Registry, and Citrine Informatics, to enable smooth flow of software and data among these different systems. For example, integrated authentication provided by Globus Auth will enable access to different components with common credentials (e.g., institutional credentials), and integration of Globus transfer will allow for rapid and reliable exchange of large datasets. Common schemas and metadata terms will be developed and deployed to permit cross-system searching and display of information. Materials data from partners across the Midwest and beyond will be loaded into the Material Data Facility to permit easy discovery and access. Concurrently with these and other development activities, a series of workshops and meetings will be convened to engage academic, government, and industry participants in defining requirements for, and making use of, the integrated system for materials design.This award received co-funding from the Math and Physical Sciences Directorate (MPS) Division of Materials Research (DMR).
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1557/mrc.2019.107
发表时间: 2019-06
期刊: MRS Communications
影响因子: 1.9
作者: [Logan T. Ward;B. Blaiszik;Ian T. Foster;R. Assary;B. Narayanan;L. Curtiss]
通讯作者: Logan T. Ward;B. Blaiszik;Ian T. Foster;R. Assary;B. Narayanan;L. Curtiss
DOI: 10.1557/mrc.2019.118
发表时间: 2019-12-01
期刊: MRS COMMUNICATIONS
影响因子: 1.9
作者: [Blaiszik, Ben, Ward, Logan, Foster, Ian]
通讯作者: Foster, Ian
Crowd-Sourced Data and Analysis Tools for Advancing the Chemical Vapor Deposition of Graphene: Implications for Manufacturing
促进石墨烯化学气相沉积的众包数据和分析工具:对制造业的影响
DOI: 10.1021/acsanm.0c02018
发表时间: 2020
期刊: ACS Applied Nano Materials
影响因子: 5.9
作者: [Schiller, Joshua A., Toro, Ricardo, Shah, Aagam, Surana, Mitisha, Zhang, Kaihao, Robertson, Matthew, Miller, Kristina, Cruse, Kevin, Liu, Kevin, Seong, Bomsaerah]
通讯作者: Seong, Bomsaerah
DOI: 10.1021/acs.jpclett.9b02577
发表时间: 2019-11-07
期刊: JOURNAL OF PHYSICAL CHEMISTRY LETTERS
影响因子: 5.7
作者: [Abreha, Biruk G., Agarwal, Snigdha, Lopez, Steven A.]
通讯作者: Lopez, Steven A.
Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs
  • 批准号:
    2335910
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.2万
  • 财政年份:
    2023
  • 负责人:
    Ian Foster
  • 依托单位:
Frameworks: Garden: A FAIR Framework for Publishing and Applying AI Models for Translational Research in Science, Engineering, Education, and Industry
  • 批准号:
    2209892
  • 项目类别:
    Standard Grant
  • 资助金额:
    $349.65万
  • 财政年份:
    2022
  • 负责人:
    Ian Foster
  • 依托单位:
Collaborative Research: OAC Core: ScaDL: New Approaches to Scaling Deep Learning for Science Applications on Supercomputers
  • 批准号:
    2107511
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.16万
  • 财政年份:
    2021
  • 负责人:
    Ian Foster
  • 依托单位:
NSF Convergence Accelerator Track D: The Data Hypervisor: Orchestrating Data and Models
  • 批准号:
    2040718
  • 项目类别:
    Standard Grant
  • 资助金额:
    $95.46万
  • 财政年份:
    2020
  • 负责人:
    Ian Foster
  • 依托单位:
海外基金