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Том 1, 2020 / Выпуск 1

DOI: 10.1615/JMachLearnModelComput.v1.i1

Table of Contents:

TENSOR BASIS GAUSSIAN PROCESS MODELS OF HYPERELASTIC MATERIALS Ari L. Frankel, Reese E. Jones, Laura P. Swiler

Ari L. Frankel
Sandia National Laboratories, Livermore, California 94551, USA

Reese E. Jones
Sandia National Laboratories, Livermore, California, 94551, USA

Laura P. Swiler
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, P.O. Box 5800, Albuquerque, New Mexico 87123-1320, USA

1-17 страниц
DOI: 10.1615/JMachLearnModelComput.2020033325

LIMITATIONS OF PHYSICS INFORMED MACHINE LEARNING FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA Olga Fuks, Hamdi A. Tchelepi

Olga Fuks
Department of Energy Resources Engineering, Stanford University, 367 Panama Street, Stanford, California 94305, USA

Hamdi A. Tchelepi
Department of Energy Resources Engineering, Stanford University, 367 Panama Street, Stanford, California 94305, USA

19-37 страниц
DOI: 10.1615/JMachLearnModelComput.2020033905

TRAINABILITY OF ReLU NETWORKS AND DATA-DEPENDENT INITIALIZATION Yeonjong Shin, George Em Karniadakis

Yeonjong Shin
Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA

George Em Karniadakis
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA; Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

39-74 страниц
DOI: 10.1615/JMachLearnModelComput.2020034126

MACHINE LEARNING FOR TRAJECTORIES OF PARAMETRIC NONLINEAR DYNAMICAL SYSTEMS Roland Pulch, Maha Youssef

Roland Pulch
Institute for Mathematics and Computer Science, University of Greifswald, Walther-Rathenau-Str. 47, D-17489 Greifswald, Germany

Maha Youssef
Institute for Mathematics and Computer Science, University of Greifswald, Walther-Rathenau-Str. 47, D-17489 Greifswald, Germany

75-95 страниц
DOI: 10.1615/JMachLearnModelComput.2020034093

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