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Journal of Computational Physics, Volume 465

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Volume 465, September 2022

Regular Papers

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  - journals/jcphy/NatarajanGZD22
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  - https://dblp.org/rec/journals/jcphy/NatarajanGZD22
Mahesh Natarajan, Ray W. Grout, Weiqun Zhang, Marcus S. Day:
A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework. 111315
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  - journals/jcphy/DongYGC22
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Hao Dong, Zihao Yang, Xiaofei Guan, Junzhi Cui:
Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis. 111352
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  - journals/jcphy/FrodeGCBP22
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Fabian Fröde, Temistocle Grenga, Vincent Le Chenadec, Mathis Bode, Heinz Pitsch:
A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization. 111374
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  - journals/jcphy/FanTYLWY22
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Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Clayton Webster, Yue Yu:
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. 111376
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Wei Zhang, Tiejun Li, Christof Schütte:
Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks. 111377
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  - journals/jcphy/SemenovW22
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Igor L. Semenov, K.-D. Weltmann:
A spectral element method for modelling streamer discharges in low-temperature atmospheric-pressure plasmas. 111378
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  - journals/jcphy/YeungCCFQ22
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Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian:
Learning rays via deep neural network in a ray-based IPDG method for high-frequency Helmholtz equations in inhomogeneous media. 111380

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