
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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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 ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
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 application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
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 ...
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 ...
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 ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
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 ...
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
Since their invention in the 1960s, metallic glasses (MGs) gained great attention due to their high strength and elastic ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
The MD method is suitable for studying the behavior of liquid molecular systems. According to past investigations in the ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...