NKS method for the implicit solution of a coupled Allen-Cahn/Cahn-Hilliard system

Handle URI:
http://hdl.handle.net/10754/563270
Title:
NKS method for the implicit solution of a coupled Allen-Cahn/Cahn-Hilliard system
Authors:
Yang, Chao; Cai, Xiaochuan; Keyes, David E. ( 0000-0002-4052-7224 ) ; Pernice, Michael
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program; Extreme Computing Research Center
Publisher:
Springer Science + Business Media
Journal:
Domain Decomposition Methods in Science and Engineering XXI
Issue Date:
2014
DOI:
10.1007/978-3-319-05789-7_79
Type:
Article
ISSN:
14397358
ISBN:
9783319057880
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Chaoen
dc.contributor.authorCai, Xiaochuanen
dc.contributor.authorKeyes, David E.en
dc.contributor.authorPernice, Michaelen
dc.date.accessioned2015-08-03T11:44:33Zen
dc.date.available2015-08-03T11:44:33Zen
dc.date.issued2014en
dc.identifier.isbn9783319057880en
dc.identifier.issn14397358en
dc.identifier.doi10.1007/978-3-319-05789-7_79en
dc.identifier.urihttp://hdl.handle.net/10754/563270en
dc.publisherSpringer Science + Business Mediaen
dc.titleNKS method for the implicit solution of a coupled Allen-Cahn/Cahn-Hilliard systemen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentExtreme Computing Research Centeren
dc.identifier.journalDomain Decomposition Methods in Science and Engineering XXIen
dc.contributor.institutionState Key Laboratory of Computer Science, Chinese Academy of SciencesBeijing, Chinaen
dc.contributor.institutionDepartment of Computer Science, University of Colorado BoulderBoulder, CO, United Statesen
dc.contributor.institutionIdaho National LaboratoryIdaho Falls, FL, United Statesen
kaust.authorKeyes, David E.en
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