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作 者:Stephen DeWitt Shiva Rudraraju David Montiel W.Beck Andrews Katsuyo Thornton
机构地区:[1]University of Michigan,Department of Materials Science and Engineering,2300 Hayward St.,Ann Arbor,MI 48109,USA [2]University of Michigan,Department of Mechanical Engineering,2350 Hayward St.,Ann Arbor,MI 48109,USA [3]University of Wisconsin,Madison,WI 53706,USA
出 处:《npj Computational Materials》2020年第1期1421-1432,共12页计算材料学(英文)
基 金:This work was supported by the U.S.Department of Energy,Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DESC0008637 as part of the Center for PRedictive Integrated Structural Materials Science(PRISMS Center)at University of Michigan;This research used resources of the National Energy Research Scientific Computing Center(NERSC),a U.S.Department of Energy Office of Science User Facility operated under Contract No.DE-AC02-05CH11231;This research was also supported through computational resources and services provided by Advanced Research Computing at the University of Michigan,Ann Arbor.
摘 要:A new phase-field modeling framework with an emphasis on performance,flexibility,and ease of use is presented.Foremost among the strategies employed to fulfill these objectives are the use of a matrix-free finite element method and a modular,application-centric code structure.This approach is implemented in the new open-source PRISMS-PF framework.Its performance is enabled by the combination of a matrix-free variant of the finite element method with adaptive mesh refinement,explicit time integration,and multilevel parallelism.Benchmark testing with a particle growth problem shows PRISMS-PF with adaptive mesh refinement and higher-order elements to be up to 12 times faster than a finite difference code employing a second-order-accurate spatial discretization and first-order-accurate explicit time integration.
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