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Project Information

COLLABORATIVE RESEARCH: VALIDATION, CALIBRATION, AND PREDICTION OF COMPUTER MODELS WITH FUNCTIONAL OUTPUT

Agency:
NSF

National Science Foundation

Project Number:
0927572
Contact PI / Project Leader:
HUNG, YING
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

The current research in Bayesian model prediction and validation of computer models mainly focuses on computer experiments with single output and fixed input variables. The proposed research focuses on Bayesian approach for calibration, validation, prediction, and experimental design of computer models with functional output. Bayesian predictive models for calibrating computer models based on functional computer outputs and physical observations will be constructed. Methods and metrics for calibrating and validating computer models will be developed. Experimental design and optimization strategies for data collection will be established. Theoretical properties of the developed methodologies will be investigated and assessed.

If successful, the research results will bridge the gap between statistical researchers and engineering practitioners, and stimulate additional research that improve effective and efficient utilization of expensive computer models developed by scientists and engineers. There is an increasing demand for accurate predictive models and metrics for calibrating and validating computer models from model analysts and engineering designers. The proposed research will allow scientists and engineers to effectively assess and evaluate expensive computer models for various scientific and engineering applications, including IC packaging and fabrication, chemical and nuclear energy equipment development, cellular material design and manufacturing, nano material design and manufacturing, etc. The major impact of the proposed research is to improve the effectiveness of computer model developers (model analysts) and users (scientists and engineering designers) in scientific understanding as well as in design and manufacturing in various important scientific and engineering applications.
Project Terms:
American; Award; Calibration; cellular development; Chemicals; Computer Simulation; Computers; Data Collection; design; Effectiveness; Engineering; Equipment; Experimental Designs; Funding; improved; Laws; Methodology; Methods; Metric; Modeling; nanomaterials; Nuclear Energy; Output; predictive modeling; Property; Recovery; Research; Research Personnel; research study; Scientist; Validation

Details

Contact PI / Project Leader Information:
Name:  HUNG, YING
Other PI Information:
Not Applicable
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  NEW BRUNSWICK    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2009
Award Notice Date: 27-Jul-2009
DUNS Number: 001912864
Project Start Date: 01-Aug-2009
Budget Start Date:
CFDA Code: 47.082
Project End Date: 31-Jul-2012
Budget End Date:
Agency: ?

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National Science Foundation
Project Funding Information for 2009:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2009 NSF

National Science Foundation

$112,536

Results

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