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1 |
A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables
Soma, Shriya. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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2 |
Fluctuations in heavy ion collisions and global conservation effects
Poberezhnyuk, Roman. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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3 |
Phase transitions in the interacting relativistic boson systems
Anchishkin, Dmitry. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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4 |
Proton and Λ flow and the equation of state at high density
Steinheimer, Jan. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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5 |
On the cosmological constant in the deformed Einstein – Cartan gauge gravity in De Donder – Weyl Hamiltonian formulation
Enthalten in Astronomische Nachrichten Bd. 344, 2023, Nr. 1-2. 6 S.
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6 |
A study on small magnitude seismic phase identification using 1D deep residual neural network
Li, Wei. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2022
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7 |
A study on the effect of input data length on a deep-learning-based magnitude classifier
Chakraborty, Megha. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2022
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8 |
Automated seismo-volcanic event detection applied to Stromboli (Italy)
Fenner, Darius. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2022
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9 |
Constraining baryon annihilation in the hadronic phase of heavy-ion collisions via event-by-event fluctuations
Savchuk, Oleh. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2022
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10 |
CREIME — A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation
Chakraborty, Megha. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2022
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