
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 105
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 ...
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
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 ...
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 ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
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 ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
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 ...
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 ...
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 ...
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 low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...