Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
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Oxford: Blackwell Publishing Ltd
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Language
English
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Publisher
Oxford: Blackwell Publishing Ltd
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Contents
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields. Due to the capability of deep learning architectures to learn representative features of the data, our generative mode...
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Full title
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
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TN_cdi_proquest_journals_2236159740
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2236159740
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ISSN
0167-7055
E-ISSN
1467-8659
DOI
10.1111/cgf.13619