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Computational and Data driven Materials Research

National Science Foundation

 
Synopsis
       


The synopsis for this grant opportunity is detailed below, following this paragraph. This synopsis contains all of the updates to this document that have been posted as of 08/02/2012 . If updates have been made to the opportunity synopsis, update information is provided below the synopsis.

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Document Type: Grants Notice
Funding Opportunity Number: PD-12-8029
Opportunity Category: Discretionary
Posted Date: Aug 02, 2012
Creation Date: Aug 02, 2012
Original Closing Date for Applications: Oct 31, 2012    Submission Window Date(s) (due by 5 p.m. proposer's local time): September 01, 2012 - October 31, 2012
Current Closing Date for Applications: Oct 31, 2012    Submission Window Date(s) (due by 5 p.m. proposer's local time): September 01, 2012 - October 31, 2012
Archive Date:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 0
Estimated Total Program Funding: $0
Award Ceiling:
Award Floor:
CFDA Number(s): 47.049  --  Mathematical and Physical Sciences
Cost Sharing or Matching Requirement: No

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:


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

NSF Program Desccription 12-8029

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Synopsis Modification History

There are currently no modifications for this opportunity.