
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...