Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 77
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
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 the Phase Separation Process of Polymer-Monomer Mixtures II
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
Engineering SciencesProcess Engineering, Technical 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 ...
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 
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
Simulation of in-situ Alloying of High Entropy Alloys During Additive Manufacturing Using Molecular Dynamics
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Engineering SciencesMaterials Science
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
Deformation Phenomena in Metallic Glass/High Entropy Nanolaminates
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Engineering SciencesMaterials 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 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-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
Engineering SciencesProcess Engineering, Technical 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
Machine-Learning Models and Potentials for Various Systems
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Engineering SciencesMaterials Science
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Engineering SciencesComputer Science
Modeling Soft and Biological Matter Systems
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Multiscale Modelling of Cement-Based Materials II
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Engineering SciencesConstruction Engineering and Architecture-
Neural Scene Understanding For Robotics
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Engineering SciencesComputer Science 
Phase Diagram of Inertial Active Brownian Particles
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
Natural SciencesTheoretical Condensed Matter Physics
