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Displaying 1 - 30 of 91
Controlling the Aggregation of Phosphorescent alkynyl-Pt-NHC Complexes via Silyl-DED Substitution
Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Approximate Bayesian Decision Theory With Neural Networks
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Geistes- und Sozialwissenschaften
Calculating Reaction Energy Barrier of HCN Formation From CH2O With CuSSZ13 Zeolite Catalyst
Biomass-derived fuels are promising candidates to replace traditional fossil-based fuels for mobility and propulsion but ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
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
Influence of Mixing Characteristics on Polymerization Reactors
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
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
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 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 
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
Parallel Finite Element Methods for Complex Flows of Complex Fluids
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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-
Parametric Study on Determination of Load-Bearing Capacity of Dry-stacked Masonry Wall under Cyclic Loading
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
IngenieurwissenschaftenBauwesen und Architektur -
Preliminary Study for Power Forecasting of Machines in Industrial Production Systems With Neural Networks
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau 
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
SpyFi: Deep Learning for CSI-based Keylogging Side Channel Attacks
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
IngenieurwissenschaftenInformatik
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-
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
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
IngenieurwissenschaftenInformatik
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
IngenieurwissenschaftenInformatik
Deriving of Design Guidelines for Cold Flow Combustors Based on Flow Phenomena in Combustors Under Real Operating Conditions
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
IngenieurwissenschaftenInformatik
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
IngenieurwissenschaftenMaterialwissenschaft-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
IngenieurwissenschaftenInformatik 
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
IngenieurwissenschaftenInformatik
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
IngenieurwissenschaftenInformatik
