7.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KaiserslauternDE112 papers
- University of Koblenz and LandauDE28 papers
- German Research Centre for Artificial IntelligenceDE25 papers
- Fraunhofer Institute for Industrial MathematicsDE13 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Johannes Gutenberg University MainzDE8 papers
- Ludwig-Maximilians-Universität MünchenDE7 papers
- RWTH Aachen UniversityDE7 papers
- Daimler (Germany)DE6 papers
- Sorbonne UniversitéFR6 papers
- Universidad Autónoma de MadridES6 papers
- Universität HamburgDE6 papers
47 papers · 1 filter
Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning
Nicolas Hayer, Hans Hasse, Fabian Jirasek
Predicting thermodynamic properties of mixtures is a cornerstone of chemical engineering, yet conventional group-contribution (GC) methods like modified UNIFAC (Dortmund) remain li…
Intrinsically Correct Sorting in Cubical Agda
Cass Alexandru, Vikraman Choudhury, Jurriaan Rot +1
The paper "Sorting with Bialgebras and Distributive Laws" by Hinze et al. uses the framework of bialgebraic semantics to define sorting algorithms. From distributive laws between f…
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors
Nicolas Hayer, Thomas Specht, Justus Arweiler +3
In this work, we introduce a novel approach for predicting thermodynamic properties of binary mixtures, which we call the similarity-based method (SBM). The method is based on quan…
Evidence of spin reorientation transition below 150 K from magnetic force microscopy in a ferromagnetic BiFeO thin film
Sudipta Goswami, Shubhankar Mishra, Kishor Kumar Sahoo +8
We investigated the magnetic transitions in BiFeO at low temperature (5-300 K) and observed nearly 90 rotation of magnetic domains (imaged by vertical magnetic force micros…
Tunable Enhancement of Magnetization Dynamics by Crystal Cut at Interface Exchange Coupled -FeO/NiFe Heterostructures
Hassan Al-Hamdo, Tobias Wagner, Philipp Schwenke +8
We investigate spin dynamics in -FeO/NiFe (Py) heterostructures, uncovering a robust mechanism for in-situ modulation of ferromagnetic resonance (FMR)…
Probing the fluctuating magnetic field of Fe-triazole spin-crossover thin-layers with nitrogen-vacancy centers in diamond
Isabel Cardoso Barbosa, Tim Hochdörffer, Juliusz A. Wolny +5
Fe spin-crossover (SCO) complexes are materials that change their magnetic properties upon temperature variation, exhibiting a thermal hysteresis. Particularly inte…
Non-reciprocity in magnon mediated charge-spin-orbital current interconversion
José Omar Ledesma-Martin, Edgar Galindez-Ruales, Sachin Krishnia +9
In magnetic systems, angular momentum is carried by spin and orbital degrees of freedom. Nonlocal devices, comprising heavy-metal nanowires on magnetic insulators like yttrium iron…
Quantitative Fiber Orientation Analysis of Carbon Fiber Sheet Molding Compounds using Polarization Imaging and X-Ray Computed Tomography
Miro Duhovic, Alex Keilmann, Dominic Schommer +2
For the quality inspection of carbon fiber sheet molding compounds, polarization imaging is a promising alternative to more established methods like computed tomography, since it i…
A robust optimization approach to flow decomposition
Moritz Stinzendörfer, Philine Schiewe, Fabricio Oliveira
In this paper, we generalize the minimum flow decomposition problem (MFD) to incorporate uncertain edge capacities and tackle it from the perspective of robust optimization. In the…
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
Henrik Ebel, Jan van Delden, Timo Lüddecke +15
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent…
Magnon-mediated exciton-exciton interaction in a van der Waals antiferromagnet
Biswajit Datta, Pratap Chandra Adak, Sichao Yu +17
Excitons are fundamental excitations that govern the optical properties of semiconductors. Interacting excitons can lead to various emergent phases of matter and large nonlinear op…
On a PDE-ODE-PDE model for two interacting cell populations under the influence of an acidic environment and with nonlocal intra- and interspecific growth limitation
Maria Eckardt, Christina Surulescu
We consider a model for the dynamics of active cells interacting with their quiescent counterparts under the influence of acidity characterized by proton concentration. The active…
Cavity-induced quantum droplets
Leon Mixa, Milan Radonjić, Axel Pelster +1
Quantum droplets are formed in quantum many-body systems when the competition of quantum corrections with the mean-field interaction yields a stable self-bound quantum liquid. We p…
Engineering quantum droplet formation by cavity-induced long-range interactions
Leon Mixa, Milan Radonjić, Axel Pelster +1
We investigate a dilute Bose gas with both a short-range contact and an effective long-range interaction between the atoms. The latter is induced by the strong coupling to a cavity…
Three-dimensional nanoscale control of magnetism in crystalline Yttrium Iron Garnet
Valerio Levati, Matteo Vitali, Andrea Del Giacco +22
The exceptional magnetic, optical and phononic properties of Yttrium Iron Garnet (YIG) make it unique for spin-wave based and photonic applications. Yet, nanostructuring crystallin…
Entropy Scaling for Diffusion Coefficients in Fluid Mixtures
Sebastian Schmitt, Hans Hasse, Simon Stephan
Entropy scaling is a powerful technique that has been used for predicting transport properties of pure components over a wide range of states. However, modeling mixture diffusion c…
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…
How a Space-Time Singularity Helps Remove the Ultraviolet Divergence Problem
Joscha Henheik, Bipul Poudyal, Roderich Tumulka
Particle creation terms in quantum Hamiltonians are usually ultraviolet divergent and thus mathematically ill defined. A rather novel way of solving this problem is based on imposi…
Competition between dimerization and vector chirality in the spin- - Heisenberg chain with uniaxial single-ion anisotropy
Ji-Lu He, Sebastian Eggert, Haiqing Lin +2
The spin- chain is a versatile prototypical platform for the study of competition between different kinds of magnetic orders, with the objective of obtaining a deeper understa…
Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Vijul Shah, Brian B. Moser, Ko Watanabe +1
Capturing pupil diameter is essential for assessing psychological and physiological states such as stress levels and cognitive load. However, the low resolution of images in eye da…
DaVE -- A Curated Database of Visualization Examples
Jens Koenen, Marvin Petersen, Christoph Garth +1
Visualization, from simple line plots to complex high-dimensional visual analysis systems, has established itself throughout numerous domains to explore, analyze, and evaluate data…
VeriCHERI: Exhaustive Formal Security Verification of CHERI at the RTL
Anna Lena Duque Antón, Johannes Müller, Philipp Schmitz +6
Protecting data in memory from attackers continues to be a concern in computing systems. CHERI is a promising approach to achieve such protection, by providing and enforcing fine-g…
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
Nicolas Hayer, Thorsten Wendel, Stephan Mandt +2
Accurate prediction of thermodynamic properties is pivotal in chemical engineering for optimizing process efficiency and sustainability. Physical group-contribution (GC) methods ar…
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
Thomas Specht, Mayank Nagda, Sophie Fellenz +3
We present the first hard-constraint neural network for predicting activity coefficients (HANNA), a thermodynamic mixture property that is the basis for many applications in scienc…