Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이준엽 | * |
dc.contributor.author | 신재민 | * |
dc.date.accessioned | 2017-05-30T01:05:18Z | - |
dc.date.available | 2017-05-30T01:05:18Z | - |
dc.date.issued | 2017 | * |
dc.identifier.issn | 0898-1221 | * |
dc.identifier.other | OAK-20587 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/235192 | - |
dc.description.abstract | In this paper, we present the Convex Splitting Runge–Kutta (CSRK) methods which provide a simple unified framework to solve phase-field models such as the Allen–Cahn, Cahn–Hilliard, and phase-field crystal equations. The core idea of the CSRK methods is the combination of convex splitting methods and multi-stage implicit–explicit Runge–Kutta methods. Our CSRK methods are high-order accurate in time and we investigate the energy stability numerically. We present numerical experiments to show the accuracy and efficiency of the proposed methods up to the third-order accuracy. © 2017 Elsevier Ltd | * |
dc.language | English | * |
dc.publisher | Elsevier Ltd | * |
dc.subject | Allen–Cahn equation | * |
dc.subject | Cahn–Hilliard equation | * |
dc.subject | Convex splitting | * |
dc.subject | Implicit–explicit Runge–Kutta | * |
dc.subject | Phase-field crystal equation | * |
dc.title | Convex Splitting Runge–Kutta methods for phase-field models | * |
dc.type | Article | * |
dc.relation.issue | 11 | * |
dc.relation.volume | 73 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 2388 | * |
dc.relation.lastpage | 2403 | * |
dc.relation.journaltitle | Computers and Mathematics with Applications | * |
dc.identifier.doi | 10.1016/j.camwa.2017.04.004 | * |
dc.identifier.wosid | WOS:000401886500004 | * |
dc.identifier.scopusid | 2-s2.0-85018489936 | * |
dc.author.google | Shin J. | * |
dc.author.google | Lee H.G. | * |
dc.author.google | Lee J.-Y. | * |
dc.contributor.scopusid | 이준엽(57217845916) | * |
dc.contributor.scopusid | 신재민(55849465500) | * |
dc.date.modifydate | 20231116123204 | * |