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Электронный каталог: Palermo, A. - Machine Learning Approaches to the QCD Transition
Palermo, A. - Machine Learning Approaches to the QCD Transition
Книга (аналит. описание)
Автор: Palermo, A.
The 38th International Symposium on Lattice Field Theory (LATTICE2021), 26-30 July 2021 [Electronic resource]: Machine Learning Approaches to the QCD Transition
б.г.
ISBN отсутствует
Автор: Palermo, A.
The 38th International Symposium on Lattice Field Theory (LATTICE2021), 26-30 July 2021 [Electronic resource]: Machine Learning Approaches to the QCD Transition
б.г.
ISBN отсутствует
Книга (аналит. описание)
Palermo, A.
Machine Learning Approaches to the QCD Transition / A.Palermo, A.Kotov, [a.o.] // The 38th International Symposium on Lattice Field Theory (LATTICE2021), 26-30 July 2021 [Electronic resource] : [Zoom/Gather@Massachusetts Institute of Technology]. – Trieste : SISSA, 2022. – P.030. – URL: https://pos.sissa.it/396/030/pdf. – Bibliogr.:13. – (Proceedings of Science ; Vol.396) .
Спец.(статьи,препринты) = С 324.1д - Квантовая хромодинамика$
ОИЯИ = ОИЯИ (JINR)2022
Palermo, A.
Machine Learning Approaches to the QCD Transition / A.Palermo, A.Kotov, [a.o.] // The 38th International Symposium on Lattice Field Theory (LATTICE2021), 26-30 July 2021 [Electronic resource] : [Zoom/Gather@Massachusetts Institute of Technology]. – Trieste : SISSA, 2022. – P.030. – URL: https://pos.sissa.it/396/030/pdf. – Bibliogr.:13. – (Proceedings of Science ; Vol.396) .
Спец.(статьи,препринты) = С 324.1д - Квантовая хромодинамика$
ОИЯИ = ОИЯИ (JINR)2022