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63 results for Stöcker,+Horst

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ArticlesPeer ReviewedFull Text
An equation-of-state-meter of quantum chromodynamics transition from deep learning
Author / Creator:Pang, Long-Gang ; Zhou, Kai ; Su, Nan ; Petersen, Hannah ; Stöcker, Horst ; Wang, Xin-Nian
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2018-01, Vol.9 (1), p.210-6, Article 210
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ArticlesPeer ReviewedFull Text
Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
Author / Creator:Du, Yi-Lun ; Zhou, Kai ; Steinheimer, Jan ; Pang, Long-Gang ; Motornenko, Anton ; Zong, Hong-Shi ; Wang, Xin-Nian ; Stöcker, Horst
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:The European physical journal. C, Particles and fields, 2020-06, Vol.80 (6), p.1-17, Article 516
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ArticlesPeer ReviewedFull Text
The equilibrium and dynamical cumulants of QCD chiral order parameter with parametric Landau free energy
Author / Creator:Jiang, Lijia ; Stöcker, Horst ; Zheng, Jun-Hui
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:The European physical journal. C, Particles and fields, 2023-02, Vol.83 (2), p.117-10, Article 117
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ArticlesPeer ReviewedFull Text
Flow Allocation in Meshed AC-DC Electricity Grids
Author / Creator:Hofmann, Fabian ; Schlott, Markus ; Kies, Alexander ; Stöcker, Horst
Publisher:Basel: MDPI AG
Journal title:Energies (Basel), 2020-03, Vol.13 (5), p.1233
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ArticlesPeer ReviewedFull Text
A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables
Author / Creator:Soma, Shriya ; Wang, Lingxiao ; Shi, Shuzhe ; Stöcker, Horst ; Zhou, Kai
Publisher:EDP Sciences
Journal title:EPJ Web of conferences, 2023, Vol.276, p.6007
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ArticlesPeer ReviewedFull Text
Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning
Author / Creator:Jhutty, Suneet Singh ; Boehme, Julia D ; Jeron, Andreas ; Volckmar, Julia ; Schultz, Kristin ; Schreiber, Jens ; Schughart, Klaus ; Zhou, Kai ; Steinheimer, Jan ; Stöcker, Horst ; Stegemann-Koniszewski, Sabine ; Bruder, Dunja ; Hernandez-Vargas, Esteban A
Publisher:United States: American Society for Microbiology
Journal title:mSystems, 2022-12, Vol.7 (6), p.e0045922-e0045922
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Conference ProceedingsPeer ReviewedFull Text
Gravitational waves from binary compact star mergers in the context of strange matter
Author / Creator:Hanauske, Matthias ; Yilmaz, Zekiye Simay ; Mitropoulos, Christina ; Rezzolla, Luciano ; Stöcker, Horst
Publisher:Les Ulis: EDP Sciences
Journal title:EPJ Web of conferences, 2018, Vol.171, p.20004
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ArticlesPeer ReviewedFull Text
Detecting the Hadron-Quark Phase Transition with Gravitational Waves
Author / Creator:Hanauske, Matthias ; Bovard, Luke ; Most, Elias ; Papenfort, Jens ; Steinheimer, Jan ; Motornenko, Anton ; Vovchenko, Volodymyr ; Dexheimer, Veronica ; Schramm, Stefan ; Stöcker, Horst
Publisher:Basel: MDPI AG
Journal title:Universe (Basel), 2019-06, Vol.5 (6), p.156
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Concluding Remarks: Connecting Relativistic Heavy Ion Collisions and Neutron Star Mergers by the Equation of State of Dense Hadron- and Quark Matter as signalled by Gravitational Waves
Author / Creator:Hanauske, Matthias ; Steinheimer, Jan ; Bovard, Luke ; Mukherjee, Ayon ; Schramm, Stefan ; Takami, Kentaro ; Papenfort, Jens ; Wechselberger, Natascha ; Rezzolla, Luciano ; Stöcker, Horst
Publisher:Bristol: IOP Publishing
Journal title:Journal of physics. Conference series, 2017-07, Vol.878 (1), p.12031
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ArticlesPeer ReviewedFull Text
FAIR - Cosmic Matter in the Laboratory
Author / Creator:Stöcker, Horst ; Stöhlker, Thomas ; Sturm, Christian
Publisher:Bristol: IOP Publishing
Journal title:Journal of physics. Conference series, 2015-06, Vol.623 (1), p.12026
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ArticlesPeer ReviewedFull Text
MAGIC - how MAtter's extreme phases can be revealed in Gravitational wave observations and in relativistic heavy Ion Collision experiments
Author / Creator:Hanauske, Matthias ; Bovard, Luke ; Steinheimer, Jan ; Motornenko, Anton ; Vovchenko, Volodymyr ; Schramm, Stefan ; Dexheimer, Veronica ; Papenfort, Jens ; Most, Elias R. ; Stöcker, Horst
Publisher:Bristol: IOP Publishing
Journal title:Journal of physics. Conference series, 2019-07, Vol.1271 (1), p.12023
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ArticlesPeer ReviewedFull Text
Predicting military specific performance from common fitness tests
Author / Creator:Stocker, Horst ; Leo, Peter
Publisher:Pitesti: Universitatea din Pitesti
Journal title:Journal of Physical Education and Sport, 2020-09, Vol.20 (5), p.2454-2459
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ArticlesFull Text
Bounding the Cosmological Constant using Galactic Rotation Curves from the SPARC Dataset
Author / Creator:Benisty, David ; Vasak, David ; Struckmeier, Jürgen ; Stöcker, Horst
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-08
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ArticlesFull Text
Covariant Hamiltonian representation of Noether's theorem and its application to SU(N) gauge theories
Author / Creator:Struckmeier, Jürgen ; Stöcker, Horst ; Vasak, David
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-02
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ArticlesPeer ReviewedFull Text
Tissue slice cultures from humans or rodents: a new tool to evaluate biological effects of heavy ions
Author / Creator:Merz, Felicitas ; Müller, Mareike ; Taucher-Scholz, Gisela ; Rödel, Franz ; Stöcker, Horst ; Schopow, Kosta ; Laprell, Laura ; Dehghani, Faramarz ; Durante, Marco ; Bechmann, Ingo
Publisher:Berlin/Heidelberg: Springer-Verlag
Journal title:Radiation and environmental biophysics, 2010-08, Vol.49 (3), p.457-462
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ArticlesFull Text
Reconstructing the neutron star equation of state from observational data via automatic differentiation
Author / Creator:Shriya Soma ; Wang, Lingxiao ; Shi, Shuzhe ; Stöcker, Horst ; Zhou, Kai
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-12
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ArticlesFull Text
Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning
Author / Creator:Shriya Soma ; Stöcker, Horst ; Zhou, Kai
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-06
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ArticlesPeer ReviewedFull Text
Relationship between anthropometrics and physiological determinants on military-specific skills
Author / Creator:Stocker, Horst ; Leo, Peter ; Landl, Stefan
Publisher:Pitesti: Universitatea din Pitesti
Journal title:Journal of Physical Education and Sport, 2019-09, Vol.19 (3), p.1670-1675
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ArticlesFull Text
Neural network reconstruction of the dense matter equation of state from neutron star observables
Author / Creator:Shriya Soma ; Wang, Lingxiao ; Shi, Shuzhe ; Stöcker, Horst ; Zhou, Kai
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-09
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ArticlesFull Text
Examination of nucleon distribution with Bayesian imaging for isobar collisions
Author / Creator:Yi-Lin, Cheng ; Shi, Shuzhe ; Yu-Gang, Ma ; Stöcker, Horst ; Zhou, Kai
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-06
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Showing 1 to 20 of 63 results

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An equation-of-state-meter of quantum chromodynamics transition from deep learning

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Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning

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The equilibrium and dynamical cumulants of QCD chiral order parameter with parametric Landau free energy

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Flow Allocation in Meshed AC-DC Electricity Grids

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A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables

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Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning

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Gravitational waves from binary compact star mergers in the context of strange matter

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Detecting the Hadron-Quark Phase Transition with Gravitational Waves

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Concluding Remarks: Connecting Relativistic Heavy Ion Collisions and Neutron Star Mergers by the Equation of State of Dense Hadron- and Quark Matter as signalled by Gravitational Waves

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FAIR - Cosmic Matter in the Laboratory

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MAGIC - how MAtter's extreme phases can be revealed in Gravitational wave observations and in relativistic heavy Ion Collision experiments

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Predicting military specific performance from common fitness tests

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Bounding the Cosmological Constant using Galactic Rotation Curves from the SPARC Dataset

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Covariant Hamiltonian representation of Noether's theorem and its application to SU(N) gauge theories

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Tissue slice cultures from humans or rodents: a new tool to evaluate biological effects of heavy ions

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Reconstructing the neutron star equation of state from observational data via automatic differentiation

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Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning

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Relationship between anthropometrics and physiological determinants on military-specific skills

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Neural network reconstruction of the dense matter equation of state from neutron star observables

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Examination of nucleon distribution with Bayesian imaging for isobar collisions

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