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1 |
Machine learning for optimization in renewable energy dominated power systems
Li, Chen. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2025
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2 |
Mechanistic modeling meets artificial intelligence : towards predictive and interpretable modeling of epidemiological dynamics
Han, Shuai. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2025
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3 |
Bounding Dark Energy from the SPARC rotation curves: Data driven probe for galaxy virialization
Benisty, David. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2024
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4 |
Bounding the cosmological constant using galactic rotation curves from the SPARC dataset
Benisty, David. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2024
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5 |
Constraining the neutron star equation of state : a deep learning approach
Soma, Shriya. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2024
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6 |
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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7 |
Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments
Omana Kuttan, Manjunath. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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8 |
Fluctuations in heavy ion collisions and global conservation effects
Poberezhnyuk, Roman. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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9 |
Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state
Jakobus, Pia. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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10 |
Gravitational waves from a core g-mode in supernovae as probes of the high-density equation of state
Jakobus, Pia. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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