Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method

被引：0
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作者：
Fujita, Kohei [1 ,2 ]
Murakami, Sota [1 ]
Ichimura, Tsuyoshi [3 ,4 ]
Hori, Takane [5 ]
Hori, Muneo [6 ]
Lalith, Maddegedara [1 ]
Ueda, Naonori [4 ]
机构：
[1] The University of Tokyo, Earthquake Research Institute, Department of Civil Engineering, Japan
[2] Center for Computational Science, Riken, Japan
[3] The University of Tokyo, Earthq. Res. Inst., Dept. Civil Eng., Japan
[4] Center for Advanced Intelligence Project, Riken, Japan
[5] Japan Agency for Marine-Earth Science and Technology, Research Institute for Marine Geodynamics, Yokohama, Japan
[6] Research Institute for Value-Added-Information Generation, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
来源：
Proceedings of ScalAH 2022: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis | 2022年
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摘要：
Crustal deformations - Data driven - Data-driven methods - Data-driven predictor - Deformation analysis - Finite element solver - Initial solution - Unstructured finite-element method - Viscoelastic crustal deformation analyse - Viscoelastics
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页码：18 / 25
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