
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 102
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Biomass-derived fuels are promising candidates to replace traditional fossil-based fuels for mobility and propulsion but ...
Symmetry, dimensionality, and local environment are essential elements affecting the magnetism of transition-metal ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
Over the last decades, turbomachinery has been subject of continuous improvement and fundamental research within the ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
Iron powder can help in a clean and sustainable generation of heat and power and holds the potential to replace ...
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 ...
Functional materials for magnetic cooling devices at room temperature are in focus for the materials scientists during ...
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 ...
A decisive property of centrifugal compressors for turbochargers is the map width, which defines the area of the ...
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 ...
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
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 ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...