806 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KaiserslauternDE89 papers
- Rheinland-Pfälzische Technische Universität Kaiserslautern-LandauDE13 papers
- University of LuxembourgLU8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- University of MünsterDE7 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE6 papers
- Technische Universität BerlinDE6 papers
- TU Dortmund UniversityDE6 papers
- University of Applied Sciences KaiserslauternDE6 papers
- Fraunhofer Institute for Industrial EngineeringDE5 papers
- Laboratoire Jacques-Louis LionsFR5 papers
- Pennsylvania State UniversityUS5 papers
213 papers
EPAC: The Last Dance
Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino +36
This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European…
Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection
Jennifer Werner, Justus Arweiler, Indra Jungjohann +4
Anomaly detection (AD) in chemical processes based on deep learning offers significant opportunities but requires large, diverse, and well-annotated training datasets that are rare…
Direct Laser Writing of Ferromagnetic Nickel Utilizing the Principle of Sensitized Triplet-Triplet Annihilation Upconversion
Kristin E. J. Kühl, Katharina Rediger, Nikhita Khera +5
Direct laser writing of ferromagnetic microstructures is of great interest for sensing and data storage in compact three-dimensional architectures. However, reliable direct laser w…
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…
Bi-level Multi-criteria Optimization for Risk-informed Radiotherapy
Mara Schubert, Katrin Teichert, Zhongxing Liao +2
In radiation therapy (RT) treatment planning, multi-criteria optimization (MCO) supports efficient plan selection but is usually solved for population-based dosimetric criteria and…
A stable and accurate X-FFT solver for linear elastic homogenization problems in 3D
Flavia Gehrig, Matti Schneider
Although FFT-based methods are renowned for their numerical efficiency and stability, traditional discretizations fail to capture material interfaces that are not aligned with the…
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…
Enhancement of magnon flux toward a Bose-Einstein condensate
Franziska Kühn, Matthias R. Schweizer, Tamara Azevedo +5
We present a combined theoretical and experimental study of angle-dependent parametric pumping of magnons in Yttrium Iron Garnet films, with a focus on the mechanisms that transfer…
Symmetries in stochastic homogenization and adjustments for the RVE method
Binh Huy Nguyen, Matti Schneider
We investigate the implications of a given symmetry of a random microstructure on the obtained effective tensor and its fluctuation in the context of thermal conductivity, and stud…
Spontaneous Emergence of Phase Coherence in a quasiparticle Bose-Einstein Condensate
Malte Koster, Matthias R. Schweizer, Timo Noack +6
Since their prediction by Einstein at the dawn of quantum mechanics, Bose-Einstein condensates (BECs), owing to their property to show quantum phenomena on macroscopic scales, are…
Simulation of Speckle Interferometric Results for Enhanced Measurement and Automated Defect Detection
Jessica Plassmann, Michael Schuth, Georg von Freymann
Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By…
Neural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations
Yu-cheng Chen, Ronin Wu, M. H. Cheng +1
Quantum computing promises to revolutionize many-body simulations for quantum chemistry, but its potential is constrained by limited qubits and noise in current devices. In this wo…
Ultrafast Electron Temperature Dynamics in Spintronic Terahertz Emitters Studied by Optical-Pump Terahertz-Probe Spectroscopy
Felix Selz, Johanna Kölbel, Felix Paries +3
Spintronic terahertz emitters (STEs) pumped by femtosecond lasers have become a widely used source of broadband terahertz radiation. However, the strength of the emitted field is l…
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…
3D image based stochastic micro-structure modelling of foams for simulating elasticity
Anne Jung, Claudia Redenbach, Katja Schladitz +1
Image acquisition techniques such as micro-computed tomography are nowadays widely available. Quantitative analysis of the resulting 3D image data enables geometric characterizatio…
Mathematical modelling and homogenization of thin fiber-reinforced hydrogels
Amartya Chakrabortty, Haradhan Dutta, Hari Shankar Mahato
This work considers simultaneous homogenization dimension reduction of a poroelastic model for thin fiber-reinforced hydrogels. The analysed medium is defined as a two-component sy…
Enforcing Mesh Quality Constraints in Shape Optimization with a Gradient Projection Method
Sebastian Blauth, Christian Leithäuser
For the numerical solution of shape optimization problems, particularly those constrained by partial differential equations (PDEs), the quality of the underlying mesh is of utmost…
Towards Using Active Learning Methods for Human-Seat Interactions To Generate Realistic Occupant Motion
Niklas Fahse, Monika Harant, Marius Obentheuer +2
In the context of developing new vehicle concepts, especially autonomous vehicles with novel seating arrangements and occupant activities, predicting occupant motion can be a tool…
Quantum Computing for Discrete Optimization: A Highlight of Three Technologies
Alexey Bochkarev, Raoul Heese, Sven Jäger +2
Quantum optimization has emerged as a promising frontier of quantum computing, providing novel numerical approaches to mathematical optimization problems. The main goal of this pap…
Terahertz Quantum Imaging
Mirco Kutas, Felix Riexinger, Jens Klier +2
Quantum imaging with undetected photons spatially transfers amplitude and phase information from one spectral region of physical interest to another spectral region that is easy to…
Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics
Björn Schembera, Frank Wübbeling, Hendrik Kleikamp +8
Mathematical models and algorithms are an essential part of mathematical research data, as they are epistemically grounding numerical data. In order to represent models and algorit…
Risk management in multi-objective portfolio optimization under uncertainty
Yannick Becker, Pascal Halffmann, Anita Schöbel
In portfolio optimization, decision makers face difficulties from uncertainties inherent in real-world scenarios. These uncertainties significantly influence portfolio outcomes in…
Immunity to Increasing Condition Numbers of Linear Superiorization versus Linear Programming
Jan Schröder, Yair Censor, Philipp Süss +1
Given a family of linear constraints and a linear objective function one can consider whether to apply a Linear Programming (LP) algorithm or use a Linear Superiorization (LinSup)…
Application of ZX-calculus to Quantum Architecture Search
Tom Ewen, Ivica Turkalj, Patrick Holzer +1
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) to optimize the structure of paramete…