
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 87
Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
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 ...
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 ...
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
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 ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
While hydrogen is promising for energy storage or mobility applications, the platinum catalysts often needed to convert ...
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
Combined with quantum chemical calculations, Mössbauer spectroscopy is a powerful tool to elucidate the structure of ...
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 ...
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
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 ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing 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 ...