
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 - 20 of 20
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
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 ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
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 aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Coarse-grained molecular dynamics (MD) simulation provides a faster alternative to all-atom MD simulation, essential for ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
Magnetocaloric materials are of interest for magnetic refrigeration of microfluidic reactors, electronic chips or other ...
Since their invention in the 1960s, metallic glasses (MGs) gained great attention due to their high strength and elastic ...