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Displaying 1 - 30 of 79
First-Principles Calculations of Spectroscopic Signatures III
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
NaturwissenschaftenPhysik der kondensierten Materie
GPU-Accelerated Solution of Many Small ODE Systems for High-Temperature Component Lifetime Modeling
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
IngenieurwissenschaftenMaterialwissenschaftInformatik
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
IngenieurwissenschaftenInformatik-
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Engineering SciencesComputer Science -
Arsenic Transport in Natural Porous Media
Arsenic (As) contamination of groundwater is a problem of enormous scale and affects the health of millions of people ...
NaturwissenschaftenWasserforschung -
CompuGene Student Lab Protein Engineering
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
IngenieurwissenschaftenInformatik 
Electronic Theory of the Magnetic Order in Thin Films
Symmetry, dimensionality, and local environment are essential elements affecting the magnetism of transition-metal ...
Natural SciencesTheoretical Condensed Matter Physics
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
IngenieurwissenschaftenInformatik
exaFOAM Performance Analysis and Modeling
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
IngenieurwissenschaftenInformatik-
Fault Tolerance and Locality-Aware Work Stealing for Dynamically Generated Dependent Tasks on Clusters
Programming environments for today’s supercomputers must support the design of efficient programs and handle issues such ...
IngenieurwissenschaftenInformatik 
Investigation of Photochemical Pathways to Metal-Nitrene Compounds From Azide Precursors II
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure III
The prime goal of ab initio (hyper)nuclear structure theory is the description of correlated systems of many baryons ...
Natural SciencesParticles, Nuclei and Fields
Laser Ion Acceleration for ELI-NP Experiments
Laser-driven ion acceleration is an emerging field of research and one of the primary applications of high-power lasers ...
Natural SciencesOptics, Quantum Optics and Physics of Atoms, Molecules and Plasmas-
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Engineering SciencesComputer Science -
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
IngenieurwissenschaftenInformatik 
Learning Mean Field Games on Sparse Graphs
Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
IngenieurwissenschaftenInformatik
Machine Learning Application in Automotive Catalysts
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
Engineering SciencesComputer Science
Parameter-Efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
IngenieurwissenschaftenInformatik
Principles of On-Surface Synthesis
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
NaturwissenschaftenPhysik der kondensierten Materie
Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions III
Functional materials for magnetic cooling devices at room temperature are in focus for the materials scientists during ...
Natural SciencesTheoretical Condensed Matter Physics
Size Dependence of FeNC-Model Complexes’ Spectroscopic Parameters
While hydrogen is promising for energy storage or mobility applications, the platinum catalysts often needed to convert ...
Natural SciencesPhysical and Theoretical Chemistry
Spectroscopic Properties and ORR Reaction Paths for FeNC Catalyst Models
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Structure Optimization, Dielectric and Magnetic Properties of Pure Silicon as well as Iron-Doped Silicon and Tin Clusters
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Testing a Sampling Based Method for Capturing the Mössbauer Spectroscopy’s Temperature Dependence
Combined with quantum chemical calculations, Mössbauer spectroscopy is a powerful tool to elucidate the structure of ...
NaturwissenschaftenPhysikalische und Theoretische Chemie-
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
NaturwissenschaftenTeilchen, Kerne und Felder -
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
Natural SciencesParticles, Nuclei and Fields -
Tracing CPU/GPU-Hybrid Applications With Extrae
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
IngenieurwissenschaftenInformatik -
Utilizing Mamba for Microorganism Protein Synthesis Prediction
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
IngenieurwissenschaftenInformatik 
Wigner Sampling of Mössbauer-Parameters
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
