Benedikt Schmitz

Lecturer

Technische Universität Darmstadt
Country flagGermany

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About

Benedikt Schmitz is a Lecturer at Darmstadt University of Applied Sciences in Germany. His research interests include predictive modeling using artificial neural networks, particle-in-cell simulations combined with deep learning, and the analysis of laser-proton acceleration experiments. Recent articles authored by him focus on neutron yield predictions, automated reconstruction of laser-accelerated ion beams, and the development of empirical scaling laws in laser-driven experiments.

Articles (4)

The development of compact neutron sources for applications is extensive and features many approaches. For ion-based approaches, several projects with different parameters exist. This article focuses on ion-based neutron production below the spallation barrier for proton and deuteron beams with arbitrary energy distributions with kinetic energies from 3 MeV to 97 MeV. This model makes it possible to compare different ion-based neutron source concepts against each other quickly. This contribution derives a predictive model using Monte Carlo simulations (an order of 50,000 simulations) and deep neural networks. It is the first time a model of this kind has been developed. With this model, lengthy Monte Carlo simulations, which individually take a long time to complete, can be circumvented. A prediction of neutron spectra then takes some milliseconds, which enables fast optimization and comparison. The models’ shortcomings for low-energy neutrons (<0.1 MeV) and the cut-off prediction uncertainty (±3 MeV) are addressed, and mitigation strategies are proposed.

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Collaborators (3)

Oliver Boine-Frankenheim

Professor

Technische Universität Darmstadt

GERMANY
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Stefan Scheuren

Technische Universität Darmstadt

GERMANY
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Marc Zimmer

Head of Laser Driven Radiation Sources

FOCUS C. R. L.

GERMANY
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