FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2766574842> ?p ?o ?g. }

• W2766574842 endingPage "171" @default.
• W2766574842 startingPage "153" @default.
• W2766574842 abstract "Phase field (PF) models are one of the most popular methods for simulating solidification microstructures due to their fundamental connections to the physics of phase transformations. However, these methods are numerically very stiff due to the multiple length scales in a solidifying material, from the nanoscopic solid-liquid interface, to dendritic structures on the order of hundreds of microns. While this problem can be greatly alleviated by thin-interface analytical treatments of the PF equations, additional numerical methods are required to explore experimentally relevant sample sizes and times scales. It was shown about 18 years ago that the use of dynamic adaptive mesh refinement (AMR) can alleviate this problem by exploiting the simple fact that the majority of the solidification kinetics occur at the solid-liquid interface, which scales with a lower dimensionality than the embedding system itself. AMR methods, together with asymptotic analysis, nowadays provide one of the most efficient numerical strategies for self-consistent quantitative PF modelling of solidification microstructure processes. This paper highlights the latest developments in the AMR technique for 3D modelling of solidification using classical phase field equations. This includes a move away from finite element techniques to faster finite differencing through the use of dynamic mini-meshes which are each associated with each node of a 3D Octree data structure, and distributed MPI parallelism that uses a new communication algorithm to decompose a 3D domain into multiple adaptive meshes that are spawned on separate cores. The numerical technique is discussed, followed by demonstrations of the new AMR algorithm on select benchmark solidification problems, as well as some illustrations of multi-phase modelling using a recently developed multi-order parameter phase field model." @default.
• W2766574842 created "2017-11-10" @default.
• W2766574842 creator A5022246481 @default.
• W2766574842 creator A5023985273 @default.
• W2766574842 creator A5025211360 @default.
• W2766574842 creator A5045146126 @default.
• W2766574842 creator A5070327710 @default.
• W2766574842 creator A5079417798 @default.
• W2766574842 creator A5090654149 @default.
• W2766574842 date "2018-02-01" @default.
• W2766574842 modified "2023-09-26" @default.
• W2766574842 title "Quantitative 3D phase field modelling of solidification using next-generation adaptive mesh refinement" @default.
• W2766574842 cites W1531093382 @default.
• W2766574842 cites W1762709353 @default.
• W2766574842 cites W1964321887 @default.
• W2766574842 cites W1974245573 @default.
• W2766574842 cites W1977054514 @default.
• W2766574842 cites W1986750656 @default.
• W2766574842 cites W1991418998 @default.
• W2766574842 cites W1996239015 @default.
• W2766574842 cites W1997571117 @default.
• W2766574842 cites W2002513420 @default.
• W2766574842 cites W2009181446 @default.
• W2766574842 cites W2010014688 @default.
• W2766574842 cites W2014194090 @default.
• W2766574842 cites W2015525529 @default.
• W2766574842 cites W2027153208 @default.
• W2766574842 cites W2033932779 @default.
• W2766574842 cites W2046486214 @default.
• W2766574842 cites W2046528357 @default.
• W2766574842 cites W2046648248 @default.
• W2766574842 cites W2046954038 @default.
• W2766574842 cites W2048776275 @default.
• W2766574842 cites W2056280895 @default.
• W2766574842 cites W2058585715 @default.
• W2766574842 cites W2067798383 @default.
• W2766574842 cites W2068151579 @default.
• W2766574842 cites W2068154525 @default.
• W2766574842 cites W2074819700 @default.
• W2766574842 cites W2077808917 @default.
• W2766574842 cites W2081937781 @default.
• W2766574842 cites W2084786372 @default.
• W2766574842 cites W2091537406 @default.
• W2766574842 cites W2107436920 @default.
• W2766574842 cites W2142706160 @default.
• W2766574842 cites W2332254154 @default.
• W2766574842 cites W2525069818 @default.
• W2766574842 cites W2574957312 @default.
• W2766574842 cites W2588090403 @default.
• W2766574842 cites W2728860316 @default.
• W2766574842 cites W2963446915 @default.
• W2766574842 doi "https://doi.org/10.1016/j.commatsci.2017.09.029" @default.
• W2766574842 hasPublicationYear "2018" @default.
• W2766574842 type Work @default.
• W2766574842 sameAs 2766574842 @default.
• W2766574842 citedByCount "45" @default.
• W2766574842 countsByYear W27665748422018 @default.
• W2766574842 countsByYear W27665748422019 @default.
• W2766574842 countsByYear W27665748422020 @default.
• W2766574842 countsByYear W27665748422021 @default.
• W2766574842 countsByYear W27665748422022 @default.
• W2766574842 countsByYear W27665748422023 @default.
• W2766574842 crossrefType "journal-article" @default.
• W2766574842 hasAuthorship W2766574842A5022246481 @default.
• W2766574842 hasAuthorship W2766574842A5023985273 @default.
• W2766574842 hasAuthorship W2766574842A5025211360 @default.
• W2766574842 hasAuthorship W2766574842A5045146126 @default.
• W2766574842 hasAuthorship W2766574842A5070327710 @default.
• W2766574842 hasAuthorship W2766574842A5079417798 @default.
• W2766574842 hasAuthorship W2766574842A5090654149 @default.
• W2766574842 hasBestOaLocation W27665748421 @default.
• W2766574842 hasConcept C111030470 @default.
• W2766574842 hasConcept C113843644 @default.
• W2766574842 hasConcept C11413529 @default.
• W2766574842 hasConcept C121332964 @default.
• W2766574842 hasConcept C121684516 @default.
• W2766574842 hasConcept C129307140 @default.
• W2766574842 hasConcept C131053463 @default.
• W2766574842 hasConcept C135628077 @default.
• W2766574842 hasConcept C141297171 @default.
• W2766574842 hasConcept C154945302 @default.
• W2766574842 hasConcept C157915830 @default.
• W2766574842 hasConcept C173608175 @default.
• W2766574842 hasConcept C181145010 @default.
• W2766574842 hasConcept C191897082 @default.
• W2766574842 hasConcept C192562407 @default.
• W2766574842 hasConcept C202444582 @default.
• W2766574842 hasConcept C31487907 @default.
• W2766574842 hasConcept C33923547 @default.
• W2766574842 hasConcept C41008148 @default.
• W2766574842 hasConcept C44280652 @default.
• W2766574842 hasConcept C459310 @default.
• W2766574842 hasConcept C62520636 @default.
• W2766574842 hasConcept C87976508 @default.
• W2766574842 hasConcept C9652623 @default.
• W2766574842 hasConcept C97355855 @default.
• W2766574842 hasConceptScore W2766574842C111030470 @default.
• W2766574842 hasConceptScore W2766574842C113843644 @default.

• next