MetadatenAuthor: | Yi-Lun DuORCiD, Kai ZhouORCiD, Jan SteinheimerORCiDGND, Long-Gang PangORCiD, Anton MotornenkoORCiDGND, Hong-Shi ZongORCiD, Xin-Nian WangORCiDGND, Horst StöckerORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-780226 |
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DOI: | https://doi.org/10.1016/j.nuclphysa.2020.121891 |
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ISSN: | 0375-9474 |
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Parent Title (English): | Nuclear Physics A |
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Publisher: | Elsevier |
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Place of publication: | Amsterdam |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2020/12/10 |
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Date of first Publication: | 2020/12/10 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Contributing Corporation: | International Conference on Ultrarelativistic Nucleus-Nucleus Collisions (28. : 2019 : Wuhan) |
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Release Date: | 2023/10/09 |
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Tag: | Deep learning; Heavy-ion physics; Hybrid model; QCD equation of state |
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Volume: | 1005.2021 |
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Issue: | 121891 |
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Article Number: | 121891 |
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Page Number: | 4 |
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HeBIS-PPN: | 513178708 |
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Institutes: | Physik |
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| Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS) |
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Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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| 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
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Sammlungen: | Universitätspublikationen |
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Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |
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