Engineering Sciences for Modeling, Simulation, Decision-Making and Emerging Technologies
National Science Foundation
Sandia National Laboratories
Letter of Intent Due Date(s)
(required) (due by 5 p.m proposer's local time): Full Proposal Deadline(s) (due by 5 p.m proposer's local time):
100-Word Abstract Required
March 14, 2003
By invitation only
Full Proposal Deadline(s) (due by 5 p.m proposer's local time):
Engineering Sciences for Modeling, Simulation, Decision-Making and Emerging Technologies
Synopsis of Program:
This is a continuation of a collaborative research program between the National Science Foundation (NSF) and Sandia National Laboratories (Sandia) that was started in 1997. The objective of this collaborative program is to fund research projects that are focused on advancing the fundamental knowledge base needed to support advanced computer simulations. Advances are needed in the following broad classes of technical development: the fidelity of the simulation models, experimental discovery necessary for the determination of the models and their validations, uncertainty quantification of the resulting computations, and computational techniques for the solution of the simulation models on high performance computing platforms.
Cognizant Program Officer(s):
Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s):
This is a solicitation for the continuation of a collaborative research program between the National Science Foundation (NSF) and Sandia National Laboratories (Sandia). Sandia has the responsibility for engineering systems and developing technologies that have profound impact on national security. The engineering systems responsibility includes defining the requirements for a variety of engineered systems, establishing the concepts to meet the requirements, evaluating design options, verifying that a design satisfies the requirements, manufacturing the system, operating and maintaining the system, and finally dismantling and disposing of the system. In addition, Sandia is responsible for developing, evaluating, and applying emerging technologies, such as microsystems, to larger engineered systems. With the advent of teraflop-level, massively parallel computers Sandia is moving toward an engineering process in which decisions are increasingly based on computational simulations with experiments used more for understanding the underlying physical phenomena and validating computational models than for certifying designs.The NSF mission is to advance the fundamental science and engineering base of the United States, including a commitment to the further development of engineering processes using computer modeling and simulation. The two organizations have entered into a collaborative program to fund research projects that are focused on advancing the fundamental knowledge base needed to support advanced computer applications in the engineering sciences and design.
Although significant progress has been made in establishing a leading role for computational simulations in the engineering of systems, additional physical discovery involving better experimental diagnostics, better models of physical phenomena, improved validation of models, improved computational algorithms, and increased emphasis on the treatment of uncertainty are all needed to reach the necessary level of confidence in the approach. This is especially true for emerging technologies such as micro and nano systems. Therefore significant advances are required in the fundamental sciences and engineering that form the foundation of all computational analyses. Sandia and NSF are seeking proposals that address these modeling and simulation advances in the following focus areas: Thermal Transport and Fluid Mechanics, Solid Mechanics and Structural Dynamics, Engineering Design, Electrical and Electromagnetic Modeling, and Emerging Technologies. Detailed information of the scope of each of the focus areas is given below.
This focus area is particularly interested in proposals that emphasize the development of analytical and computational methods to represent critical fluid/thermal transport phenomena and processes with appropriate resolution, dimensionality, and coupling with other physical processes. Topics suitable for consideration include, but are not limited to research in the areas of:
The development and application of advanced diagnostics and experimental methods, to better characterize critical transport phenomena and to support the development of analytical and computational methods, are also appropriate.
This focus area seeks to improve and expand fundamental computational and material mechanics knowledge in the areas of solid mechanics and structural dynamics. In the area of structural dynamics, methods of treating the nonlinearities associated with energy dissipation in joints and interfaces are needed for systems whose vibrational response is otherwise linear. Advances in nonlinear, large deformation quasistatics and transient dynamics (both explicit and implicit) are also needed. A major area of emphasis is in models for material response and failure. The shift from a test-based to a simulation-based design environment requires accurate, robust and efficient computer codes which model large ranges of loadings, deformation amplitudes and rates, length- (including nano-, micro-, meso- and macro-scales) and time-scale mechanics, and damping of mechanical interfaces and joints. It seeks to develop a basic engineering understanding of numerical solution methods including finite elements, boundary elements, gridless Lagrangian and other methods for challenging simulation problems such as in impact and penetration, thermomechanical aspects of material processing and manufacturing, crack initiation, propagation and arrest, design optimization and uncertainty analysis, including accurate constitutive and/or molecular description of materials. Advanced solution algorithms based upon easy-to-implement meshes, e.g., mesh free or advanced tetrahedral elements, are particularly attractive. Adaptive techniques that automatically improve accuracy are desired. The solution algorithms must be robust, reliable, efficient, and scalable on parallel computing platforms. Carefully designed experimental investigations to validate and otherwise support the above technology areas are also needed.
Another very important issue in the use of computational models to impact design and design qualification is the time it takes to create computational models. It can often take so long to create a computational model for a complex system that the computations are not timely enough to impact design. Therefore, proposals addressing computational model creation issues for complex systems are solicited that cover issues such as improvements in solid geometry technology to defeature geometric models for analysis, methods for detecting and correcting nonphysical attributes in solid models, and improvements in automatic mesh generation, such as hexahedral finite element meshes.
This focus area seeks to improve the fundamental theory of design and the computational tools needed to implement the theory. Design is recognized as involving decision making under uncertainty and risk. In this area, research is sought that will apply the rigorous mathematics of decision theory, game theory and probability theory, together with the engineering sciences, to enhance decision making in engineering design. This includes research on the fundamental theory of predictive modeling and the validation of predictive models, on the quantification of uncertainty and risk, the explication of decision maker preferences, and the application of decision theory to the analysis of engineering design decisions. Emphasis will be placed on research efforts that seek to make use of large-scale computational capabilities to enable the creation of tools that will enhance the application of the fundamental theories in real engineering design situations.
Engineering design is a very complex human activity in which designers gather and use information from a wide variety of sources to accomplish their goal. Much of the information designers draw on is subjective and uncertain. The purpose of design theory is to provide a mathematical framework within which designers can be assured that their decisions are consistent with their information and goals. Typically, such a framework provides conceptually simple principles that are enormously complex to implement. Software tools are needed to help in implementing this theory. This research is particularly amenable to small groups including expertise in engineering design, mathematics and computation.
Emerging electrical modeling and simulation technologies are spanning a wide range of capabilities, from digital representations that model highly integrated circuitry on a single chip to large electrical circuit systems to detailed calculations of features on the micron scale. Many opportunities for meaningful research are in this range of calculation capabilities. However, the area of interest for Sandia is the modeling of electrical systems and the interactions with the surrounding environment. Circuit simulations require that the devices comprising the circuits be well characterized in order to have confidence in calculation results. We are soliciting activities in the areas of improved device characterizations (construction analysis, destructive physical analysis and nondestructive techniques that would provide data for construction of improved electrical models), improved uncertainty quantification techniques that relate to electrical circuit simulations, and improved device models that interact with the environment. In addition, to leverage existing modeling and simulation technologies in the digital realm, technologies are required to link digital and analog circuit simulation. These technologies need to be extended to model hardware/software (co-simulation) and include actual electrical hardware in the simulations.
Electromagnetics (EM) modeling and simulation is also applied to a wide range of areas, including: response to high power/frequency EM environments, response to lightning insult, and high voltage (HV) breakdown due to both pulsed and DC environments. Our focus areas for proposals are those that will significantly advance our engineering science capabilities for:
We seek tools and technologies such as advanced computational methods, new analytical treatments, novel experimental series and new diagnostic techniques.
Microscale and nanoscale systems and processes are becoming more viable for use in engineering applications. However, our knowledge of their behavior and our ability to model their performance remains limited. In particular, existing continuum-based computational capabilities are not applicable over the full range of operational conditions. We observe non-continuum behavior in gas dynamic transport, thermal transport and material mechanics as characteristic scales drop towards the micron scale. To support the design and qualification of microscale and future nanoscale systems and processes, we must develop validated analytical, computational and experimental capabilities that can span the continuum to non-continuum regimes. In the near continuum regimes we anticipate that we can extend our continuum capabilities through subgrid constitutive models that can capture non-continuum phenomena and that can be integrated into continuum mechanics capabilities. In the non-continuum regimes we anticipate that new formulations of the conservation laws and new constitutive relationships will be required for these capabilities. In this area we solicit proposals that seek to expand our understanding of microscale and nanoscale phenomena and to develop models of micro- and nano-scale engineered systems and processes.
A growing level of effort at Sandia National Laboratories is being devoted to creating a science-based understanding of micro and nano scale phenomenology as it relates to MEMS and microsystems. To encourage university interactions in this area, Sandia has created the MESA Institute. It can help to support the labor costs of university faculty and students who come to work on-site with Sandia staff. By working through the MESA Institute with Sandia line organizations, researchers can obtain both supplemental support for project labor costs and access to Sandia's world-class facilities and capabilities in the MEMS area. Projects for which on-site work at Sandia would be beneficial should consider this MESA Institute option as part of their proposal. More information on the MESA Institute can be found at http://www.sandia.gov/mesa/institute/institute.htm.
Letters of Intent
The descriptions of Goals and Relevance are limited to a total of 100 words. No fax or mail copies of the abstracts will be accepted. Abstracts that do not specifically address the overall aims of this solicitation will be judged to be nonresponsive.
Abstracts that address the overall aims of this solicitation, such as directing the effort to only one of the focus areas and proposing research related to either validation of models intrinsic to high performance computing or to the development of modeling protocols and computational procedures which materially accelerate and improve such computations relative to their specific focus area, will be accepted. PIs of such abstracts will be notified by e-mail no later than January 21, 2003, and will be invited to submit a full proposal.
Full Proposal Instructions:
Proposals submitted in response to this program announcement/solicitation should be prepared and submitted in accordance with the general guidelines contained in the NSF Grant Proposal Guide (GPG). The complete text of the GPG is available electronically on the NSF Website at: https://www.nsf.gov/cgi-bin/getpub?gpg. Paper copies of the GPG may be obtained from the NSF Publications Clearinghouse, telephone (301) 947-2722 or by e-mail from email@example.com.
A. General Information NSF and Sandia will use a two-step process for proposal submission and evaluation under this solicitation. As the first step, proposers must submit an abstract. If the abstract is judged to address the overall aims of this solicitation, the PI will be invited to submit a full proposal (second step). B. Proposal Preparation Instructions. Only invited proposals,
selected on the basis of review of abstracts, will be considered by NSF and Sandia in this
competition. Proposals submitted in response to this program solicitation should be prepared and
submitted in accordance with the general guidelines contained in the Grant Proposal Guide
(GPG), NSF 03-2. The complete text of the GPG (including electronic forms) is available
electronically on the NSF Web site at: https://www.nsf.gov. THE PROPOSAL MUST INCLUDE A SEPARATE DISCLOSURE AUTHORIZATION PAGE. THIS PAGE MUST STATE
THE FOLLOWING: AUTHORIZATION TO DISCLOSE PROPOSAL AND
REVIEW MATERIALS TO SANDIA NATIONAL LABORATORIES We acknowledge by submission of this proposal that we understand that the program announcement
"Engineering Sciences for Modeling, Simulation, Decision-Making and Emerging Technologies"
is a joint initiative of the National Science Foundation and the Sandia National Laboratories,
and the submitted proposals and review materials will be shared with the Sandia National
Laboratories for the purposes of proposal evaluation. We authorize the National Science
Foundation to disclose this proposal and all associated materials and review documents
to the Sandia National Laboratories and its representatives for the purpose of evaluation
and selection of proposals. NOTE THAT SUBMISSION OF A PROPOSAL AND CONSENT TO DISCLOSE ARE VOLUNTARY. HOWEVER, FAILURE TO
AUTHORIZE DISCLOSURE WILL PRECLUDE REVIEW OF YOUR PROPOSAL UNDER THIS JOINT INITIATIVE AND WILL RESULT IN INELIGIBILITY FOR AN AWARD UNDER
NSF and Sandia will use a two-step process for proposal submission and evaluation under this solicitation. As the first step, proposers must submit an abstract. If the abstract is judged to address the overall aims of this solicitation, the PI will be invited to submit a full proposal (second step).
B. Proposal Preparation Instructions.
Only invited proposals, selected on the basis of review of abstracts, will be considered by NSF and Sandia in this competition.
Proposals submitted in response to this program solicitation should be prepared and submitted in accordance with the general guidelines contained in the Grant Proposal Guide (GPG), NSF 03-2. The complete text of the GPG (including electronic forms) is available electronically on the NSF Web site at: https://www.nsf.gov.
THE PROPOSAL MUST INCLUDE A SEPARATE DISCLOSURE AUTHORIZATION PAGE. THIS PAGE MUST STATE THE FOLLOWING:
AUTHORIZATION TO DISCLOSE PROPOSAL AND REVIEW MATERIALS TO SANDIA NATIONAL LABORATORIES
We acknowledge by submission of this proposal that we understand that the program announcement "Engineering Sciences for Modeling, Simulation, Decision-Making and Emerging Technologies" is a joint initiative of the National Science Foundation and the Sandia National Laboratories, and the submitted proposals and review materials will be shared with the Sandia National Laboratories for the purposes of proposal evaluation. We authorize the National Science Foundation to disclose this proposal and all associated materials and review documents to the Sandia National Laboratories and its representatives for the purpose of evaluation and selection of proposals.
NOTE THAT SUBMISSION OF A PROPOSAL AND CONSENT TO DISCLOSE ARE VOLUNTARY. HOWEVER, FAILURE TO AUTHORIZE DISCLOSURE WILL PRECLUDE REVIEW OF YOUR PROPOSAL UNDER THIS JOINT INITIATIVE AND WILL RESULT IN INELIGIBILITY FOR AN AWARD UNDER THIS ANNOUNCEMENT.
Proposers are reminded to identify the program announcement/solicitation number (03-505) in the program announcement/solicitation block on the proposal Cover Sheet. Compliance with this requirement is critical to determining the relevant proposal processing guidelines. Failure to submit this information may delay processing.
Cost sharing is not required in proposals submitted under this Program Solicitation.
Proposals must be submitted by the following date(s):
Letters of Intent
(required) (due by 5 p.m proposer's local time):
100-Word Abstract Required
Full Proposal Deadline(s) (due by 5 p.m proposer's local time):
Proposers are required to prepare and submit all proposals for this announcement/solicitation through the FastLane system. Detailed instructions for proposal preparation and submission via FastLane are available at: http://www.fastlane.nsf.gov/a1/newstan.htm. For FastLane user support, call the FastLane Help Desk at 1-800-673-6188 or e-mail firstname.lastname@example.org. The FastLane Help Desk answers general technical questions related to the use of the FastLane system. Specific questions related to this program announcement/solicitation should be referred to the NSF program staff contact(s) listed in Section VIII of this announcement/solicitation.
Submission of Electronically Signed Cover Sheets. The Authorized Organizational Representative (AOR) must electronically sign the proposal Cover Sheet to submit the required proposal certifications (see Chapter II, Section C of the Grant Proposal Guide for a listing of the certifications). The AOR must provide the required electronic certifications within five working days following the electronic submission of the proposal. Proposers are no longer required to provide a paper copy of the signed Proposal Cover Sheet to NSF. Further instructions regarding this process are available on the FastLane Website at: http://www.fastlane.nsf.gov
Reviews of proposals submitted to NSF are solicited from peers with expertise in the substantive area of the proposed research or education project. These reviewers are selected by Program Officers charged with the oversight of the review process. NSF invites the proposer to suggest, at the time of submission, the names of appropriate or inappropriate reviewers. Care is taken to ensure that reviewers have no conflicts with the proposer. Special efforts are made to recruit reviewers from non-academic institutions, minority-serving institutions, or adjacent disciplines to that principally addressed in the proposal.
The National Science Board approved revised criteria for evaluating proposals at its meeting on March 28, 1997 (NSB 97-72). All NSF proposals are evaluated through use of the two merit review criteria. In some instances, however, NSF will employ additional criteria as required to highlight the specific objectives of certain programs and activities.
On July 8, 2002, the NSF Director issued Important Notice 127, Implementation of new Grant Proposal Guide Requirements Related to the Broader Impacts Criterion. This Important Notice reinforces the importance of addressing both criteria in the preparation and review of all proposals submitted to NSF. NSF continues to strengthen its internal processes to ensure that both of the merit review criteria are addressed when making funding decisions.
In an effort to increase compliance with these requirements, the January 2002 issuance of the GPG incorporated revised proposal preparation guidelines relating to the development of the Project Summary and Project Description. Chapter II of the GPG specifies that Principal Investigators (PIs) must address both merit review criteria in separate statements within the one-page Project Summary. This chapter also reiterates that broader impacts resulting from the proposed project must be addressed in the Project Description and described as an integral part of the narrative.
Effective October 1, 2002, NSF will return without review proposals that do not separately address both merit review criteria within the Project Summary. It is believed that these changes to NSF proposal preparation and processing guidelines will more clearly articulate the importance of broader impacts to NSF-funded projects.
The two National Science Board approved merit review criteria are listed below (see the Grant Proposal Guide Chapter III.A for further information). The criteria include considerations that help define them. These considerations are suggestions and not all will apply to any given proposal. While proposers must address both merit review criteria, reviewers will be asked to address only those considerations that are relevant to the proposal being considered and for which he/she is qualified to make judgements.
NSF staff will give careful consideration to the following in making funding decisions:
In addition to the above criteria, proposals in the focus area of Engineering Design (see Section II.c) will be judged in terms of their ability/potential to provide sweeping theories that will cover and regularize wide ranges of engineering design. Proposals that address modeling and simulation uncertainty will be judged in terms of their ability/potential to provide general approaches to, and new theories for, uncertainty estimation in modeling and simulation-based design.
All proposals are carefully reviewed by at least three other persons outside NSF who are experts in the particular field represented by the proposal. Proposals submitted in response to this announcement/solicitation will be reviewed by Panel Review.
Reviewers will be asked to formulate a recommendation to either support or decline each proposal. The Program Officer assigned to manage the proposal's review will consider the advice of reviewers and will formulate a recommendation.
A summary rating and accompanying narrative will be completed and submitted by each reviewer. In all cases, reviews are treated as confidential documents. Verbatim copies of reviews, excluding the names of the reviewers, are sent to the Principal Investigator/Project Director by the Program Director. In addition, the proposer will receive an explanation of the decision to award or decline funding.
NSF is striving to be able to tell applicants whether their proposals have been declined or recommended for funding within six months. The time interval begins on the date of receipt. The interval ends when the Division Director accepts the Program Officer's recommendation.
In all cases, after programmatic approval has been obtained, the proposals recommended for funding will be forwarded to the Division of Grants and Agreements for review of business, financial, and policy implications and the processing and issuance of a grant or other agreement. Proposers are cautioned that only a Grants and Agreements Officer may make commitments, obligations or awards on behalf of NSF or authorize the expenditure of funds. No commitment on the part of NSF should be inferred from technical or budgetary discussions with a NSF Program Officer. A Principal Investigator or organization that makes financial or personnel commitments in the absence of a grant or cooperative agreement signed by the NSF Grants and Agreements Officer does so at their own risk.
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An NSF award consists of: (1) the award letter, which includes any special provisions applicable to the award and any numbered amendments thereto; (2) the budget, which indicates the amounts, by categories of expense, on which NSF has based its support (or otherwise communicates any specific approvals or disapprovals of proposed expenditures); (3) the proposal referenced in the award letter; (4) the applicable award conditions, such as Grant General Conditions (NSF-GC-1); * or Federal Demonstration Partnership (FDP) Terms and Conditions * and (5) any announcement or other NSF issuance that may be incorporated by reference in the award letter. Cooperative agreement awards also are administered in accordance with NSF Cooperative Agreement Terms and Conditions (CA-1). Electronic mail notification is the preferred way to transmit NSF awards to organizations that have electronic mail capabilities and have requested such notification from the Division of Grants and Agreements.
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More comprehensive information on NSF Award Conditions is contained in the NSF Grant Policy Manual (GPM) Chapter II, available electronically on the NSF Website at https://www.nsf.gov/cgi-bin/getpub?gpm. The GPM is also for sale through the Superintendent of Documents, Government Printing Office (GPO), Washington, DC 20402. The telephone number at GPO for subscription information is (202) 512-1800. The GPM may be ordered through the GPO Website at http://www.gpo.gov.
Special Award Conditions:
Notification of the AwardThe final award recommendations will be a joint decision of a working group comprised of program officers from NSF and Sandia. Grants from NSF or contracts from Sandia will be funded totally by either agency. Notification of Program Officers' recommendation will be made to the Principal Investigator by June 28, 2003.
Notification of an award from NSF is made to the submitting organization by a Grants Officer in the Division of Grants and Agreements (DGA). Organizations whose proposals are declined will be advised as promptly as possible by the cognizant NSF Program Division administering the program. Verbatim copies of reviews, not including the identity of the reviewer, will be provided to the Principal Investigator. Sandia contracts will be administered in accordance with their policies and procedures.
For all multi-year grants (including both standard and continuing grants), the PI must submit an annual project report to the cognizant Program Officer at least 90 days before the end of the current budget period.
In addition to standard NSF reporting requirements, principal investigators funded under this program will be required to attend an annual progress review meeting each year while funding for the project is in force. Travel expenses for this meeting will come from the award.
Within 90 days after the expiration of an award, the PI also is required to submit a final project report. Failure to provide final technical reports delays NSF review and processing of pending proposals for that PI. PIs should examine the formats of the required reports in advance to assure availability of required data.
PIs are required to use NSF's electronic project reporting system, available through FastLane, for preparation and submission of annual and final project reports. This system permits electronic submission and updating of project reports, including information on project participants (individual and organizational), activities and findings, publications, and other specific products and contributions. PIs will not be required to re-enter information previously provided, either with a proposal or in earlier updates using the electronic system.
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