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Machine Learning Accelerates Cosmological Simulations - NSF AI Planning Institute for Data-Driven Discovery in Physics

Researchers at Carnegie Mellon University have developed a way to create a complex simulated universe in less than a day. The technique, published in this week’s Proceedings of the National Academy of Sciences, brings together machine learning, high-performance computing and astrophysics and will help to usher in a new era of high-resolution cosmology simulations.

Machine learning accelerates cosmological simulations

 E-Mail IMAGE: The leftmost simulation ran at low resolution. Using machine learning, researchers upscaled the low-res model to create a high-resolution simulation (right). That simulation captures the same details as a conventional. view more  Credit: Credit: Y. Li et al./Proceedings of the National Academy of Sciences 2021 A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week s Proceedings of the National Academy of Sciences, brings together machine learning, high-performance computing and astrophysics and will help to usher in a new era of high-resolution cosmology simulations.

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