Division of Materials Research: Computational and Data-Driven Materials Research Grant

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The Division of Materials Research offers a grant to support materials research driven by computation, data, or theory. This program aims to advance new materials design, structure development, and nanoscale materials using computational, data-centric, and theoretical approaches. Projects combining simulation, experimentation, and data mining to enhance materials research understanding are encouraged. Emphasis is placed on transformative research merging computational activities with experimental endeavors, leading to innovative materials research methods. Proposals exploring new paradigms through digital data integration to advance materials understanding are of particular interest. Additionally, projects developing materials research knowledge portals are supported to enhance accessibility of digital research products.

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Opportunity ID: 188915

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General Information

Document Type:: Grants Notice
Funding Opportunity Number:: PD-12-8029
Funding Opportunity Title:: Computational and Data driven Materials Research
Opportunity Category:: Discretionary
Opportunity Category Explanation::
Funding Instrument Type::
Category of Funding Activity:: Science and Technology and other Research and Development
Category Explanation::
Expected Number of Awards:: 0
Assistance Listings Number(s):: 47.049 — Mathematical and Physical Sciences
Cost Sharing or Matching Requirement:: No
Version:: Synopsis 1
Posted Date:: Aug 02, 2012
Last Updated Date::
Original Closing Date for Applications:: Oct 31, 2012
Current Closing Date for Applications:: Oct 31, 2012
Archive Date::
Estimated Total Program Funding:: $ 0
Award Ceiling:: $
Award Floor:: $

Eligibility

Eligible Applicants:: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility::

Additional Information

Agency Name:: National Science Foundation
Description:: The Division of Materials Research recognizes the scientific opportunities enabled by advances in theory and computation and the application of data-enabled and data-centric approaches in conjunction with experimental activities to advance materials research. This program supports materials research driven by computation, data, or theory. Areas of interest include but are not limited to new materials design and preparation, structure development, evolution and control, nanoscale materials, multi-scale properties and optimization in all the topical, disciplinary, and interdisciplinary areas represented in DMR programs. Research and education activities supported in this program are distinct from those supported in other programs in DMR by approach: successful projects may be more simulations and less algorithm development and theory than in CMMT and may also incorporate experiments and/or a heavy emphasis on data mining. Supported projects will advance fundamental understanding of materials or materials-related phenomena through transformative research in which a computational, data-centric, or theoretical activity drives a well-integrated experimental activity or vice versa. Successful projects may involve the creation of software or databases validated by associated synthesis or experiments to address imperfect or incomplete theoretical understanding or computational intractability to forge innovative methods to advance the frontiers of materials research. Projects that explore the combination of dedicated computation or data-centric activities with innovative instrumentation leading to transformative tools to advance materials research will also be considered. Of particular interest are projects that create new paradigms for materials research through the innovative use of digital data in ways that complement or dramatically enhance traditional computational, experimental, and theoretical methods to discover new materials or new materials-related phenomena, and advance the fundamental understanding of materials more generally. This program will also support efforts to develop materials research knowledge portals that integrate experimental data with data of simulation or theoretical origin with the aim to organize, enhance, and make broadly accessible the digital products of materials research.
Link to Additional Information::
Grantor Contact Information:: If you have difficulty accessing the full announcement electronically, please contact:

Version History

Version Modification Description Updated Date
Synopsis 1

Package Status

Below are CLOSED Opportunity Package(s) no longer available for this Funding Opportunity:

Package No: 1

Assistance Listings: 47.049
Competition ID:
Competition Title:
Opportunity Package ID: PKG00138890
Opening Date: Aug 02, 2012
Closing Date: Oct 31, 2012
Agency Contact Information:: Diana Farkas
Who Can Apply:: Organization and Individual Applicants
mendatory_forms SF424 (R & R) [V1.2]
Project/Performance Site Location(s) [V1.4]
Research And Related Other Project Information [V1.3]
Research And Related Senior/Key Person Profile (Expanded) [V1.2]
Research & Related Personal Data [V1.2]
Research & Related Budget [V1.1]
NSF Cover Page [V1.3]
optional_forms R & R Subaward Budget Attachment(s) Form [V1.2]
NSF Deviation Authorization [V1.1]
NSF Suggested Reviewers [V1.1]
NSF FastLane System Registration [V1.3]

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Packages

Assistance Listings Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions Who Can Apply:
47.049 PKG00138890 Aug 02, 2012 Oct 31, 2012 View Diana Farkas Organization and Individual Applicants

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