Journal Article

GSI-2021-00624

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning

Du, Y.-L. ; Zhou, K. (Corresponding author) ; Steinheimer, J. ; Pang, L.-G. ; Motornenko, A. ; Zong, H.-S. ; Wang, X.-N. ; Stöcker, H.GSI*

2020
Springer Heidelberg

Please use a persistent id in citations: doi:10.1140/epjc/s10052-020-8030-7  doi:10.15120/GSI-2021-00624

Note: This article is licensed under a Creative Commons Attribution 4.0 International License. Funded by SCOAP3

---

Research Program(s):

1. 612 - Cosmic Matter in the Laboratory (POF4-612) (POF4-612)

Experiment(s):

1. no experiment theory work (POF3; theory)

---

Database coverage:
; ; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---