Distillation?
Recent trend: abstracting complex physical models into much simpler neural nets that require far less computation.https://arxiv.org/abs/1701.08884
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wow. 50,000 is a big number
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kind of like a encyclopedia for solutions
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Also known as "emulators" since the 90s, initiated by Tony O'Hagan
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this has been used in computational chemistry since >10 years, but it's indeed getting more popular nowhttp://journals.aps.org/prl/abstract/10.1103/PhysRevLett.98.146401 …
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Generally creates more accurate models too, since they're based on data, not theory
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How important is mechanistic understanding when neural nets have such good predictive power?
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I'm skeptical, simulation accuracy is key to usefulness. I'd argue this work is mostly useful for producing cool vids only..
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