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ISSN 印刷: 2689-3967
ISSN オンライン: 2689-3975
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DOI: 10.1615/JMachLearnModelComput.v3.i1
Table of Contents:
MESH-BASED GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR MODELING MATERIALS WITH MICROSTRUCTURE
Ari L. Frankel, Cosmin Safta, Coleman Alleman, Reese E. Jones
Ari L. Frankel
Sandia National Laboratories, Livermore, California 94551, USA
Cosmin Safta
P.O.Box 969, MS 9051; Computational Science and Analysis, Sandia National Laboratories, Livermore,
CA, 94551
Coleman Alleman
Sandia National Laboratories, Livermore, California 94551, USA
Reese E. Jones
Sandia National Laboratories, Livermore, California 94551, USA
1-30 ページ
DOI: 10.1615/JMachLearnModelComput.2021039688
TRANSFER LEARNING ON MULTIFIDELITY DATA
Dong H. Song, Daniel M. Tartakovsky
Dong H. Song
Department of Energy Resources Engineering, Stanford University, Stanford,
CA 94305, USA
Daniel M. Tartakovsky
Department of Energy Resources, Engineering, Stanford University, 367 Panama St., Stanford, CA 94305, USA
31-47 ページ
DOI: 10.1615/JMachLearnModelComput.2021038925
A NEURAL SOLVER FOR VARIATIONAL PROBLEMS ON CAD GEOMETRIES WITH APPLICATION TO ELECTRIC MACHINE SIMULATION
Moritz von Tresckow, Stefan Kurz, Herbert De Gersem, Dimitrios Loukrezis
Moritz von Tresckow
Technische Universität Darmstadt, Institute for Accelerator Science and
Electromagnetic Fields, Schlossgartenstr. 8, 64289 Darmstadt, Germany
Stefan Kurz
University of Jyväskylä, Faculty of Information Technology, Seminaarinkatu 15,
Jyväskylä, Finland
Herbert De Gersem
Institute for Accelerator Science and Electromagnetic Fields (TEMF), Technische Universität Darmstadt, Schlossgartenstraße 8, 64289 Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Dolivostraße 15,
64293 Darmstadt, Germany
Dimitrios Loukrezis
Institute for Accelerator Science and Electromagnetic Fields, Technische Universität
Darmstadt, Darmstadt, Germany; Centre for Computational Engineering, Technische Universität Darmstadt, Darmstadt,
Germany
49-75 ページ
DOI: 10.1615/JMachLearnModelComput.2022041753
LEVERAGING LOCAL VARIATION IN DATA: SAMPLING AND WEIGHTING SCHEMES FOR SUPERVISED DEEP LEARNING
Paul Novello, G. Poëtte, D. Lugato, P. M. Congedo
Paul Novello
CESTA, CEA, Le Barp, 33114, France; CMAP, Ecole Polytechnique, 91120, Palaiseau, France; Platon, Inria Paris Saclay, 91120, Palaiseau, France
G. Poëtte
CESTA, CEA, Le Barp, 33114, France
D. Lugato
CESTA, CEA, Le Barp, 33114, France
P. M. Congedo
CMAP, Ecole Polytechnique, 91120, Palaiseau, France; Platon, Inria Paris Saclay, 91120, Palaiseau, France
77-105 ページ
DOI: 10.1615/JMachLearnModelComput.2022041819
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