Sspectral Numerical Solution of Stochastic Partial          Differential Equations
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
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There does not exist a general analytical method for solving flow               through a randomly heterogeneous porous medium.  Current methods are            either perturbation methods or Monte Carlo simulations.  The former can         only deal with small variances while the latter is very time consuming          or expensive to compute.                                                                                                                                        This Expedited Award for Novel Research will explore the applicability          of the spectral method for computational efficiency for flow through            random porous media.  Spectral methods are not new to nonlinear problems        but had not been applied to this problem.                                                                                                                       The Institutional support is adequate and the PI is qualified to carry          out the research, I recommend support.
{'FirstName': 'Peter', 'LastName': 'Kitanidis', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter K Kitanidis', 'EmailAddress': 'peterk@stanford.edu', 'NSF_ID': '000089988', 'StartDate': '09/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Stanford University', 'CityName': 'STANFORD', 'ZipCode': '943052004', 'PhoneNumber': '6507232300', 'StreetAddress': '450 JANE STANFORD WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': 'HJD6G4D6TJY5', 'ORG_LGL_BUS_NAME': 'THE LELAND STANFORD JUNIOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1495', 'Text': 'COMPUTATIONAL ENGINEERING'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8716585.xml'}