Mathematical Sciences: Asymptotic-Numerical Methods for     Convection-Diffusion- Reaction Equations
{'Code': '03040101', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Sallie Keller-McNulty', 'PO_EMAI': None, 'PO_PHON': None}
This research will use asymptotic analysis to design                       efficient numerical methods for some singularly perturbed                       convection-reaction-diffusion equations.  The approach allows for               asymptotic preconditioning and informed domain decomposition in                 problems involving multiple scales.                                                  This work should contribute to improved computational                      capabilities for problems in chemistry and chemical engineering.                Applications of these equations include reacting fluids with low                viscosity.
{'FirstName': 'Arthur', 'LastName': 'Krener', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arthur J Krener', 'EmailAddress': 'ajkrener@ucdavis.edu', 'NSF_ID': '000179278', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Davis', 'CityName': 'DAVIS', 'ZipCode': '956186153', 'PhoneNumber': '5307547700', 'StreetAddress': '1850 RESEARCH PARK DR STE 300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'CA04', 'ORG_UEI_NUM': 'TX2DAGQPENZ5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, DAVIS', 'ORG_PRNT_UEI_NUM': 'NUDGYLBB4S99'}
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{'Code': '1266', 'Text': 'APPLIED MATHEMATICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8803193.xml'}