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Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks

Computing and software for big science, 2018-11, Vol.2 (1), Article 4

2018

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Deep Learning For Physics Research

1, 2021

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Inference of cosmic-ray source properties by conditional invertible neural networks

The European physical journal. C, Particles and fields, 2022-02, Vol.82 (2), p.1-10, Article 171

2022

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CRPropa 3—a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles

Journal of cosmology and astroparticle physics, 2016-05, Vol.2016 (5), p.38-38

2016

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Deep Learning For Physics Research

2021

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Simulation of radiation energy release in air showers

Journal of cosmology and astroparticle physics, 2016-09, Vol.2016 (9), p.24-24

2016

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An analytic description of the radio emission of air showers based on its emission mechanisms

Astroparticle physics, 2019-01, Vol.104, p.64-77

2019

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Effect of differently sized O/W emulsions loaded with rosemary extract on lipid oxidation in cooked emulsion-type sausages rich in n-3 fatty acids

Food science & technology, 2017-06, Vol.79, p.496-502

2017

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Binning high-dimensional classifier output for HEP analyses through a clustering algorithm

EPJ Web of Conferences, 2024, Vol.295, p.6005

2024

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Melts of sediments in the mantle wedge of the Oman ophiolite

Geology (Boulder), 2015-04, Vol.43 (4), p.275-278

2015

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Constraints on the magmatic evolution of the oceanic crust from plagiogranite intrusions in the Oman ophiolite

Contributions to mineralogy and petrology, 2016-05, Vol.171 (5), p.1, Article 46

2016

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A method for inferring signal strength modifiers by conditional invertible neural networks

EPJ Web of Conferences, 2024, Vol.295, p.9001

2024

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Environmental impacts of the future supply of rare earths for magnet applications

Journal of industrial ecology, 2021-08, Vol.25 (4), p.1034-1050

2021

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High-temperature, low-H2O Silicic Magmas of the Yellowstone Hotspot: an Experimental Study of Rhyolite from the Bruneau–Jarbidge Eruptive Center, Central Snake River Plain, USA

Journal of petrology, 2012-09, Vol.53 (9), p.1837-1866

2012

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Influence of droplet size on the antioxidant efficacy of oil-in-water emulsions loaded with rosemary in raw fermented sausages

European food research & technology, 2017-08, Vol.243 (8), p.1415-1427

2017

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Anatexis at the roof of an oceanic magma chamber at IODP Site 1256 (equatorial Pacific): an experimental study

Contributions to mineralogy and petrology, 2015-04, Vol.169 (4), p.1, Article 39

2015

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ErUM-Data-Hub - The Networking and Transfer Office serving Digital Transformation in Research on Universe and Matter in Germany

EPJ Web of Conferences, 2024, Vol.295, p.8021

2024

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Rapid determination of ergosterol in grape mashes for grape rot indication and further quality assessment by means of an industrial near infrared/visible (NIR/VIS) spectrometer – A feasibility study

Food control, 2014-09, Vol.43, p.142-149

2014

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Influence of droplet size on the antioxidant activity of rosemary extract loaded oil-in-water emulsions in mixed systems

Food & function, 2015-03, Vol.6 (3), p.793-84

2015

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Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network

Computing and software for big science, 2019-12, Vol.3 (1), Article 4

2019

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Origins of Extragalactic Cosmic Ray Nuclei by Contracting Alignment Patterns induced in the Galactic Magnetic Field

EPJ Web of Conferences, 2019, Vol.210, p.4004

2019

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Simulation of the Radiation Energy Release in Air Showers

EPJ Web of Conferences, 2017, Vol.135, p.1016

2017

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Knowledge sharing on deep learning in physics research using VISPA

EPJ Web of Conferences, 2020, Vol.245, p.5040

2020

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An analytic description of the radio emission of air showers based on its emission mechanisms

EPJ Web of Conferences, 2019, Vol.216, p.3001

2019

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Evolution of the VISPA-project

EPJ Web of Conferences, 2019, Vol.214, p.5021

2019

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Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks

Deep Learning For Physics Research

Inference of cosmic-ray source properties by conditional invertible neural networks

CRPropa 3—a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles

Deep Learning For Physics Research

Simulation of radiation energy release in air showers

An analytic description of the radio emission of air showers based on its emission mechanisms

Effect of differently sized O/W emulsions loaded with rosemary extract on lipid oxidation in cooked emulsion-type sausages rich in n-3 fatty acids

Binning high-dimensional classifier output for HEP analyses through a clustering algorithm

Melts of sediments in the mantle wedge of the Oman ophiolite

Constraints on the magmatic evolution of the oceanic crust from plagiogranite intrusions in the Oman ophiolite

A method for inferring signal strength modifiers by conditional invertible neural networks

Environmental impacts of the future supply of rare earths for magnet applications

High-temperature, low-H2O Silicic Magmas of the Yellowstone Hotspot: an Experimental Study of Rhyolite from the Bruneau–Jarbidge Eruptive Center, Central Snake River Plain, USA

Influence of droplet size on the antioxidant efficacy of oil-in-water emulsions loaded with rosemary in raw fermented sausages

Anatexis at the roof of an oceanic magma chamber at IODP Site 1256 (equatorial Pacific): an experimental study

ErUM-Data-Hub - The Networking and Transfer Office serving Digital Transformation in Research on Universe and Matter in Germany

Rapid determination of ergosterol in grape mashes for grape rot indication and further quality assessment by means of an industrial near infrared/visible (NIR/VIS) spectrometer – A feasibility study

Influence of droplet size on the antioxidant activity of rosemary extract loaded oil-in-water emulsions in mixed systems

Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network

Origins of Extragalactic Cosmic Ray Nuclei by Contracting Alignment Patterns induced in the Galactic Magnetic Field

Simulation of the Radiation Energy Release in Air Showers

Knowledge sharing on deep learning in physics research using VISPA

An analytic description of the radio emission of air showers based on its emission mechanisms

Evolution of the VISPA-project

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