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pro vyhledávání: '"Antonin Penon"'
Publikováno v:
Phys.Rev.Lett.
Phys.Rev.Lett., 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
Physical Review Letters
Physical Review Letters, American Physical Society, 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
Physical Review Letters, 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
Phys.Rev.Lett., 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
Physical Review Letters
Physical Review Letters, American Physical Society, 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
Physical Review Letters, 2020, 124 (16), pp.162502. ⟨10.1103/PhysRevLett.124.162502⟩
International audience; We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the one achieved by state-of-the-art nuclear energ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbf3a6ee5d52250a9c1ee2071e4809de
http://arxiv.org/abs/1910.04132
http://arxiv.org/abs/1910.04132
