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Horst Stöcker (1952-)

Physiker

Name	Horst Stöcker
Zeit	1952- (Lebensdaten)
Ort	Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Prof. Dr.
Beruf	Physiker (charakteristischer Beruf)
Variante	H. Shutetuka Horst Stocker H. Si tuo ke H.-Situoke
Weitere Angaben	Prof. für Theoretische Physik
Datensatztyp	Person
GND-Nummer	131640909
Datensatz-ID	131640909
Beteiligt an alle anzeigen Bounding Dark Energy from the SPARC rotation curves: Data driven probe for galaxy virialization Constraining the neutron star equation of state : a deep learning approach On the cosmological constant in the deformed Einstein – Cartan gauge gravity in De Donder – Weyl Hamiltonian formulation A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments Fluctuations in heavy ion collisions and global conservation effects Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state Phase transitions in the interacting relativistic boson systems Proton and Λ flow and the equation of state at high density Shared Data and Algorithms for Deep Learning in Fundamental Physics Automated seismo-volcanic event detection applied to Stromboli (Italy) Constraining baryon annihilation in the hadronic phase of heavy-ion collisions via event-by-event fluctuations CREIME — A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation CREIME: A Convolutional Recurrent model for Earthquake Identification and Magnitude Estimation Dynamical production of hadrons and photons in hydrodynamics + transport approaches for relativistic heavy-ion collisions Fluctuations in heavy ion collisions and global conservation effects On the cosmological constant in the deformed Einstein–Cartan gauge gravity in De Donder–Weyl Hamiltonian formulation PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms Shared Data and Algorithms for Deep Learning in Fundamental Physics Taschenbuch der Physik : DeskTop Physik Tracking influenza a virus infection in the lung from hematological data with machine learning An equation-of-state-meter for CBM using PointNet From cosmic matter to the laboratory Metastable hypermassive hybrid stars as neutron-star merger remnants : A case study Ambiguities in the hadro-chemical freeze-out of Au+Au collisions at SIS18 energies and how to resolve them Deep learning based impact parameter determination for the CBM experiment From cosmic matter to the laboratory Taschenbuch der Physik : Formeln, Tabellen, Übersichten The possibility of twin star solutions in a model based on lattice QCD thermodynamics PANDA as midrapidity detector for a future HESR Collider at FAIR A fast centrality-meter for heavy-ion collisions at the CBM experiment Feeddown contributions from unstable nuclei in relativistic heavy-ion collisions Identifying the nature of the QCD transition in heavy-ion collisions with deep learning PANDA as midrapidity detector for a future HESR Collider at FAIR A machine learning study to identify spinodal clumping in high energy nuclear collisions Classify QCD phase transition with deep learning Detecting the hadron-quark phase transition with gravitational waves Lattice-based QCD equation of state at finite baryon density: Cluster Expansion Model Neutron star mergers: Probing the eos of hot, dense matter by gravitational waves Neutron-star-merger equation of state QCD at high density: Equation of state for nuclear collisions and neutron stars An equation-of-state-meter of quantum chromodynamics transition from deep learning Gravitational waves from binary compact star mergers in the context of strange matter Hadron thermodynamics from imaginary chemical potentials Identifying QCD transition using deep learning Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model Nuclear interactions and net-proton number fluctuations in heavy ion collisions at the SIS18 accelerator Taschenbuch der Physik : Formeln, Tabellen, Übersichten Van der Waals interactions and hadron resonance gas: role of resonance widths modeling on conserved charges fluctuations Conserved charge fluctuations are not conserved during the hadronic phase Repulsive baryonic interactions and lattice QCD observables at imaginary chemical potential Appearance of Hagedorn limiting temperature in microscopic model calculations Study of hard core repulsive interactions in an hadronic gas from a comparison with lattice QCD Conserved charge fluctuations in a chiral hadronic model including hadrons and quarks Taschenbuch der Physik : DeskTop Physik Taschenbuch der Physik : Formeln, Tabellen, Übersichten Physik : der Grundkurs QCD equation of state from a chiral hadronic model including quark degrees of freedom Phase structure of strongly interacting matter and simulations of heavy-ion collisions using a quark-hadron model

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Katalog der Deutschen Nationalbibliothek

Horst Stöcker (1952-)

Bounding Dark Energy from the SPARC rotation curves: Data driven probe for galaxy virialization

Constraining the neutron star equation of state : a deep learning approach

On the cosmological constant in the deformed Einstein – Cartan gauge gravity in De Donder – Weyl Hamiltonian formulation

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

Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments

Fluctuations in heavy ion collisions and global conservation effects

Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state

Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state

Phase transitions in the interacting relativistic boson systems

Proton and Λ flow and the equation of state at high density

Shared Data and Algorithms for Deep Learning in Fundamental Physics

Automated seismo-volcanic event detection applied to Stromboli (Italy)

Constraining baryon annihilation in the hadronic phase of heavy-ion collisions via event-by-event fluctuations

CREIME — A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation

CREIME: A Convolutional Recurrent model for Earthquake Identification and Magnitude Estimation

Dynamical production of hadrons and photons in hydrodynamics + transport approaches for relativistic heavy-ion collisions

Fluctuations in heavy ion collisions and global conservation effects

On the cosmological constant in the deformed Einstein–Cartan gauge gravity in De Donder–Weyl Hamiltonian formulation

PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms

Shared Data and Algorithms for Deep Learning in Fundamental Physics

Taschenbuch der Physik : DeskTop Physik

Tracking influenza a virus infection in the lung from hematological data with machine learning

An equation-of-state-meter for CBM using PointNet

From cosmic matter to the laboratory

Metastable hypermassive hybrid stars as neutron-star merger remnants : A case study

Ambiguities in the hadro-chemical freeze-out of Au+Au collisions at SIS18 energies and how to resolve them

Deep learning based impact parameter determination for the CBM experiment

From cosmic matter to the laboratory

Taschenbuch der Physik : Formeln, Tabellen, Übersichten

The possibility of twin star solutions in a model based on lattice QCD thermodynamics

PANDA as midrapidity detector for a future HESR Collider at FAIR

A fast centrality-meter for heavy-ion collisions at the CBM experiment

Feeddown contributions from unstable nuclei in relativistic heavy-ion collisions

Identifying the nature of the QCD transition in heavy-ion collisions with deep learning

PANDA as midrapidity detector for a future HESR Collider at FAIR

A machine learning study to identify spinodal clumping in high energy nuclear collisions

Classify QCD phase transition with deep learning

Detecting the hadron-quark phase transition with gravitational waves

Lattice-based QCD equation of state at finite baryon density: Cluster Expansion Model

Neutron star mergers: Probing the eos of hot, dense matter by gravitational waves

Neutron-star-merger equation of state

QCD at high density: Equation of state for nuclear collisions and neutron stars

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

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

Hadron thermodynamics from imaginary chemical potentials

Identifying QCD transition using deep learning

Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

Nuclear interactions and net-proton number fluctuations in heavy ion collisions at the SIS18 accelerator

Taschenbuch der Physik : Formeln, Tabellen, Übersichten

Van der Waals interactions and hadron resonance gas: role of resonance widths modeling on conserved charges fluctuations

Conserved charge fluctuations are not conserved during the hadronic phase

Repulsive baryonic interactions and lattice QCD observables at imaginary chemical potential

Appearance of Hagedorn limiting temperature in microscopic model calculations

Study of hard core repulsive interactions in an hadronic gas from a comparison with lattice QCD

Conserved charge fluctuations in a chiral hadronic model including hadrons and quarks

Taschenbuch der Physik : DeskTop Physik

Taschenbuch der Physik : Formeln, Tabellen, Übersichten

Physik : der Grundkurs

QCD equation of state from a chiral hadronic model including quark degrees of freedom

Phase structure of strongly interacting matter and simulations of heavy-ion collisions using a quark-hadron model