Division of Materials Research
Computational and Data driven Materials Research
Apply to PD 12-8029 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guidelines apply.
For full proposals submitted via Grants.gov:
NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply
(Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at:
Important Notice to Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 13-1, was issued on October 4, 2012 and is effective for proposals submitted, or due, on or after January 14, 2013. Please be advised that, depending on the specified due date, the guidelines contained in NSF 13-1 may apply to proposals submitted in response to this funding opportunity.
Please be aware that significant changes have been made to the PAPPG to implement revised merit review criteria based on the National Science Board (NSB) report, National Science Foundation's Merit Review Criteria: Review and Revisions. While the two merit review criteria remain unchanged (Intellectual Merit and Broader Impacts), guidance has been provided to clarify and improve the function of the criteria. Changes will affect the project summary and project description sections of proposals. Annual and final reports also will be affected.
A by-chapter summary of this and other significant changes is provided at the beginning of both the Grant Proposal Guide and the Award & Administration Guide.
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.
Condensed Matter and Materials Theory
THIS PROGRAM IS PART OF
Disciplinary Research Activities
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program