
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 - 30 of 31
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 ...
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
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 ...
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
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 ...
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 ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
The electronic structure plays a key role in determining the physical properties of highly correlated electron systems ...
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 ...
Permanent magnets are an important component in a wide range of everyday devices. Present high performance magnets like ...