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Emissões de anãs vermelhas podem ser menos nocivas à atmosfera de exoplanetas

Emissões de anãs vermelhas podem ser menos nocivas à atmosfera de exoplanetas
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Machine learning accelerates cosmological simulations


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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.
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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. ....

United States , Scott Dodelson , Rupert Croft , Carnegie Mellon National Science Foundation , Carnegie Mellon University , Texas Advanced Computing Center , University Of California Riverside Professor Physics , Division Of Physics , University Of California Berkeley Yu Feng , Office Of Advanced Cyberinfrastructure , Nsf Ai Institute , Planning Institute For Artificial Intelligence , Planning Institute For Artificial Intelligence In Physics , Carnegie Mellon Mcwilliams Center , Planning Institute , Flatiron Institute Research Fellow Yin Li , Proceedings Of The National Academy Sciences , National Academy , California Riverside Professor , Astronomy Simeon Bird , California Berkeley , Carnegie Mellon , National Science Foundation , Artificial Intelligence , Mcwilliams Center , James Shank ,