
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 1 - 28 of 28
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
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 ...
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 ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
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 ...
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
The complex architecture of neuropsychiatric disorders comprises of distinct neuropsychological traits. Previous studies ...
Magnetic materials have been widely used in the modern society due to their intriguing functional properties. For ...