Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
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 ...
Natural SciencesPhysical and Theoretical Chemistry
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 ...
Engineering SciencesProcess Engineering, Technical Chemistry
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 ...
Engineering SciencesComputer Science
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 ...
Natural SciencesPhysical and Theoretical Chemistry
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 ...
Natural SciencesChemical Solid State and Surface Research
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
Multiscale Modelling of Cement-Based Materials III
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
Engineering SciencesConstruction Engineering and Architecture
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 ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
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 ...
Engineering SciencesComputer Science
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 ...
Natural SciencesPhysical and Theoretical Chemistry
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 ...
Engineering SciencesComputer Science
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 ...
Natural SciencesPhysical and Theoretical Chemistry
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 ...
Natural SciencesPhysical and Theoretical Chemistry
Wigner Sampling of Mössbauer-Parameters
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
Natural SciencesPhysical and Theoretical Chemistry
Computer-Aided Analysis of Time-Lapse Microscopy Data II
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Life SciencesBasic Research in Biology and Medicine
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 ...
Engineering SciencesComputer Science
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Engineering SciencesComputer Science
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer Science-
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 ...
Engineering SciencesComputer Science 
Improving the Model-Based Prediction of Vibroacoustic Vehicle Properties by Mastering Uncertainty
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
Engineering SciencesMechanics and Constructive Mechanical Engineering
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 ...
Engineering SciencesComputer Science
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 ...
Engineering SciencesComputer Science
Investigation of Photochemical Pathways to Metal-Nitrene Compounds from Azide Precursors I
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
Natural SciencesPhysical and Theoretical Chemistry
Investigation of Spin Isomers in SnNFe with N = 8-16
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Natural SciencesPhysical and Theoretical Chemistry
Investigation of the Diastereodivergent Asymmetric Allylic Alkylation of Cyclobutenes
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing and ...
Natural SciencesMolecular Chemistry
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Engineering Sciences
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
