
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 104
Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
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 ...
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
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 ...
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 ...
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
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 ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
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 ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
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 ...