Search Results for author: Horst Stoecker

Found 7 papers, 4 papers with code

Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks

no code implementations23 Nov 2023 Chen Li, Alexander Kies, Kai Zhou, Markus Schlott, Omar El Sayed, Mariia Bilousova, Horst Stoecker

The Optimal Power Flow (OPF) problem is pivotal for power system operations, guiding generator output and power distribution to meet demand at minimized costs, while adhering to physical and engineering constraints.

Imitation Learning Physics-informed machine learning

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks

no code implementations17 Feb 2023 Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou

A physics-informed neural network (PINN) embedded with the susceptible-infected-removed (SIR) model is devised to understand the temporal evolution dynamics of infectious diseases.

Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk

no code implementations30 Nov 2020 Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stoecker, Yin Jiang, Kai Zhou

As the COVID-19 pandemic continues to ravage the world, it is of critical significance to provide a timely risk prediction of the COVID-19 in multi-level.

BIG-bench Machine Learning

Canonical statistical model analysis of p-p, p-Pb, and Pb-Pb collisions at the LHC

1 code implementation7 Jun 2019 Volodymyr Vovchenko, Benjamin Dönigus, Horst Stoecker

Exact baryon number conservation is found to be even more important than that of strangeness in the canonical suppression picture at the LHC, in contrast to intermediate and low collision energies.

High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory

Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state

5 code implementations16 Jan 2019 Volodymyr Vovchenko, Horst Stoecker

A distinct feature of this package is the presence of the graphical user interface frontend -- QtThermalFIST -- which is designed for fast and convenient general-purpose HRG model applications.

Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment

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

1 code implementation15 Aug 2018 Volodymyr Vovchenko, Benjamin Donigus, Horst Stoecker

The statistical model with exact conservation of baryon number, electric charge, and strangeness - the Canonical Statistical Model (CSM) - is used to analyze the dependence of yields of light nuclei at midrapidity on charged pion multiplicity at the LHC.

High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory

Finite resonance widths influence thermal model description of hadron yields

1 code implementation5 Jul 2018 Volodymyr Vovchenko, Mark I. Gorenstein, Horst Stoecker

Different scenarios for modeling resonances in a thermal model description of hadron yields measured in heavy-ion collisions are explored: the zero-width approximation, the energy independent Breit-Wigner scheme, and the energy dependent Breit-Wigner (eBW) scheme.

Nuclear Theory High Energy Physics - Phenomenology

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