Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 66
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-
CompuGene Student Lab Protein Engineering
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
Engineering SciencesComputer 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
Learning by Building: Construction of Voltage-Dependent Ion Channels from Modular Components II
Voltage-dependent K+ channels are facilitators of a diverse set of physiological processes, including neuronal signaling ...
Life Sciences-
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
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
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
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
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 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
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 by Building: Construction of Voltage-Dependent Ion Channels From Modular Components
As facilitators of ionic currents across biological membranes, voltage-dependent K+ channels are involved in a broad ...
Life SciencesBasic Research in Biology and Medicine
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
MD-Simulations to Study the Effect of Electric Fields on the SARS-CoV-2 Postfusion Structure
The interaction between the Spike (S) glycoprotein and the ACE2 receptor on the host cell constitutes the pivotal ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
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-
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 
Optical Response of (Hetero)Adamantine Clusters
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
Natural SciencesTheoretical Condensed Matter Physics
Policy Optimization with Learning and Planning in Continuous Spaces
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
Engineering SciencesComputer Science
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Engineering SciencesComputer Science
