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ISSN Imprimir: 2689-3967
ISSN On-line: 2689-3975
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DOI: 10.1615/JMachLearnModelComput.v5.i2
Table of Contents:
GPT VS. HUMAN FOR SCIENTIFIC REVIEWS: A DUAL SOURCE REVIEW ON APPLICATIONS OF CHATGPT IN SCIENCE
Chenxi Wu, Alan John Varghese, Vivek Oommen, George Em Karniadakis
Chenxi Wu
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA
Alan John Varghese
Brown University
Vivek Oommen
School of Engineering, Brown University, Providence, RI 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
1-44 páginas
DOI: 10.1615/JMachLearnModelComput.2024052432
DATA-DRIVEN IDENTIFICATION OF QUADRATIC REPRESENTATIONS FOR NONLINEAR HAMILTONIAN SYSTEMS USING WEAKLY SYMPLECTIC LIFTINGS
Süleyman Yıldız, Pawan Goyal, Thomas Bendokat, Peter Benner
Süleyman Yıldız
Max Planck Institute for Dynamics of Complex Technical Systems,
Pawan Goyal
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg,
Germany
Thomas Bendokat
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg,
Germany
Peter Benner
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany
45-71 páginas
DOI: 10.1615/JMachLearnModelComput.2024052810
PREDICTING FLUID PARTICLE TRAJECTORIES WITHOUT FLOW COMPUTATIONS: A DATA-DRIVEN APPROACH
Jianchen Wei, Melissa A. Green, Lixin Shen, Minghao W. Rostami
Jianchen Wei
Department of Mathematics, Syracuse University, 215 Carnegie Building,
Syracuse, New York 13244, USA
Melissa A. Green
Aerospace Engineering & Mechanics, University of Minnesota, Minneapolis,
Minnesota 55455, USA
Lixin Shen
Department of Mathematics, Syracuse University, Syracuse, NY 13244
Minghao W. Rostami
Binghamton University
73-111 páginas
DOI: 10.1615/JMachLearnModelComput.2024052000
A MISLEADING GALLERY OF FLUID MOTION BY GENERATIVE ARTIFICIAL INTELLIGENCE
Ali Kashefi
Ali Kashefi
Department of Civil & Environmental Engineering, Stanford University, Stanford, California, 94305 USA
113-144 páginas
DOI: 10.1615/JMachLearnModelComput.2024054191
SMALL-DATA REDUCED-ORDER MODELING OF CHAOTIC DYNAMICS THROUGH SYCO-AE: SYNTHETICALLY CONSTRAINED AUTOENCODERS
Andrey A. Popov, Renato Zanetti
Andrey A. Popov
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, 78712, USA; Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin,
Austin, Texas, 78712, USA
Renato Zanetti
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, 78712, USA; Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin,
Austin, Texas, 78712, USA
145-162 páginas
DOI: 10.1615/JMachLearnModelComput.2024053321
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