Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 102
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 ...
Natural SciencesTheoretical Condensed Matter Physics-
Atomic Scale Modeling of Coherent Phase Transitions in Energy Storage Materials
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
Engineering SciencesMaterials Science 
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
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 ...
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 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
Principles of On-Surface Synthesis
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
Natural SciencesTheoretical Condensed Matter Physics
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
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
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials II
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
Engineering SciencesMaterials Science
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
Designing Materials With Photo-Induced Phase Transitions
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
Natural SciencesTheoretical Condensed Matter Physics
Dislocations for Defect-Based Quantum Computing
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science
First-Principles Calculations of Spectroscopic Signatures II
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Natural SciencesTheoretical Condensed Matter Physics
High-Throughput Design Co-based Heusler Alloys as Multi-Functional Magnetic Materials via Substitutional Doping
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Engineering SciencesMaterials Science
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Engineering SciencesMaterials Science-
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
Natural SciencesTheoretical Condensed Matter Physics -
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 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
Interatomic Potentials for Li-Si-O and Si-O-C
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Engineering SciencesMaterials 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
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Engineering Sciences
