41 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KaiserslauternDE54 papers
- German Research Centre for Artificial IntelligenceDE7 papers
- Fraunhofer Institute for Industrial MathematicsDE6 papers
- Rheinland-Pfälzische Technische Universität Kaiserslautern-LandauDE5 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Johannes Gutenberg University MainzDE3 papers
- Karlsruhe Institute of TechnologyDE3 papers
- University of Koblenz and LandauDE3 papers
- Baden-Wuerttemberg Cooperative State UniversityDE2 papers
- Eindhoven University of TechnologyNL2 papers
- Georgia Institute of TechnologyUS2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT2 papers
15 papers · 1 filter
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…
From Lasers to Photon Bose--Einstein Condensates: A Unified Description via an Open-Dissipative Bose--Einstein Distribution
Joshua Krauß, Enrico Stein, Axel Pelster
Photon condensation was first experimentally realized in 2010 within a dye-filled microcavity at room temperature. Since then, interest in the field has increased significantly, as…
Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
Francisco Mena, Dino Ienco, Cassio F. Dantas +2
Multi-modal co-learning is emerging as an effective paradigm in machine learning, enabling models to collaboratively learn from different modalities to enhance single-modality pred…
Orbital Frontiers: Harnessing Higher Modes in Photonic Simulators
Jiho Noh, Julian Schulz, Wladimir Benalcazar +1
Photonic platforms have emerged as versatile and powerful classical simulators of quantum dynamics, providing clean, controllable optical analogs of extended structured (i.e., crys…
Influence of Platinum Thin Films on the Photophysical and Quantum Properties of Near-Surface NV Centers
Joachim P. Leibold, Lina M. Todenhagen, Matthias Althammer +5
Nitrogen-vacancy (NV) centers in diamond are optically addressable spin defects with great potential for nanoscale quantum sensing. A key application of NV centers is the detection…
Probing laser-driven surface and subsurface dynamics via grazing-incidence XFEL scattering and diffraction
Lisa Randolph, Özgül Öztürk, Dmitriy Ksenzov +34
We demonstrate a grazing-incidence x-ray platform that simultaneously records time-resolved grazing-incidence small-angle x-ray scattering (GISAXS) and grazing-incidence x-ray diff…
Weighted Hartree-Fock-Bogoliubov method for interacting fermions: An application to ultracold Fermi superfluids
Nikolai Kaschewski, Axel Pelster, Carlos A. R. Sá de Melo
For several decades it has been known that divergences arise in the ground-state energy and chemical potential of unitary superfluids, where the scattering length diverges, due to…
XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel
We propose a novel segmentation-based explainable artificial intelligence (XAI) method for neural networks working on point cloud classification. As one building block of this meth…
Quantum Workshop for IT-Professionals
Bettina Just, Jörg Hettel, Gerhard Hellstern
Quantum computing is gaining strategic relevance beyond research-driven industries. However, many companies lack the expertise to evaluate its potential for real-world applications…
A Polynomial-Time Inner Approximation Algorithm for Multi-Objective and Parametric Optimization
Levin Nemesch, Stefan Ruzika, Clemens Thielen +1
In multi-objective optimization, computing the entire non-dominated set (also known as the Pareto front or the Pareto frontier) is often intractable. However, for any multiplicativ…
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
Carlo Dindorf, Fabian Horst, Djordje Slijepčević +5
This chapter provides an overview of recent and promising Machine Learning applications, i.e. pose estimation, feature estimation, event detection, data exploration & clustering, a…
Understanding Floquet Resonances in Ultracold Gas Scattering
Christoph Dauer, Axel Pelster, Sebastian Eggert
Scattering by a short-range potential with time-periodic interaction strength is investigated with a Floquet-scattering theory. Sharp resonances occur, at which the s-wave scatteri…
Hadron Identification Prospects With Granular Calorimeters
Andrea De Vita, Abhishek, Max Aehle +15
In this work we consider the problem of determining the identity of hadrons at high energies based on the topology of their energy depositions in dense matter, along with the time…
Cracks in concrete
Tin Barisin, Christian Jung, Anna Nowacka +2
Finding and properly segmenting cracks in images of concrete is a challenging task. Cracks are thin and rough and being air filled do yield a very weak contrast in 3D images obtain…
Using Large Language Models for Solving Thermodynamic Problems
Rebecca Loubet, Pascal Zittlau, Luisa Vollmer +5
Large Language Models (LLMs) have made significant progress in reasoning, demonstrating their capability to generate human-like responses. This study analyzes the problem-solving c…