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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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Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
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 industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
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 ...
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
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 ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
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 ...
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
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 ...