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[2411.16417] Comparison of Generative Learning Methods ...
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由 C Drygala 著作2024 — This paper investigates the application of three generative models - Variational Autoencoders (VAE), Deep Convolutional Generative Adversarial ...
Comparison of Generative Learning Methods for ...
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View recent discussion. Abstract: Numerical simulations of turbulent flows present significant challenges in fluid dynamics due to their complexity and high ...
Comparison of Generative Learning Methods for Turbulence ...
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2024年11月25日 — Numerical simulations of turbulent flows present significant challenges in fluid dynamics due to their complexity and high computational ...
Comparison of Generative Learning Methods for Turbulence ...
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2024年11月25日 — Investigates the capability of three generative models (VAE, DCGAN, DDPM) to simulate 2D turbulence. High-resolution techniques (DNS, LES) were ...
Claudia Drygala
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Comparison of Generative Learning Methods for Turbulence Modeling · Generalization capabilities of conditional GAN for turbulent flow under changes of geometry.
Edmund Ross
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2025年1月3日 — Claudia Drygala, Edmund Ross, Francesca di Mare, Hanno Gottschalk: Comparison of Generative Learning Methods for Turbulence Modeling.
Generative modeling of turbulence | Request PDF
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We present a mathematically well-founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN).
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Claudia Drygala - Google Scholar
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Comparison of Generative Learning Methods for Turbulence Modeling. C Drygala, E Ross, F di Mare, H Gottschalk. arXiv preprint arXiv:2411.16417, 2024. 2024 ...
[PDF] Generative Modeling of Turbulence
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Comparison of Generative Learning Methods for Turbulence Modeling · Claudia ... approach turbulent flow simulation as a generative task directly learning ...
Review of Challenges and Opportunities in Turbulence Modeling
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Comparison of Generative Learning Methods for Turbulence Modeling · Claudia ... A multi-agent reinforcement learning approach for learning turbulence models ...
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