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- W3139628080 abstract "We report the results from our ongoing pilot investigation of the use of deep learning techniques for forecasting the state of turbulent flows onto black holes. Deep neural networks seem to learn well black hole accretion physics and evolve the accretion flow orders of magnitude faster than traditional numerical solvers, while maintaining a reasonable accuracy for a long time." @default.
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- W3139628080 date "2020-03-01" @default.
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- W3139628080 title "The first AI simulation of a black hole" @default.
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- W3139628080 doi "https://doi.org/10.1017/s1743921320003981" @default.
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