
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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Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
Aeroacoustics is a critical research field that studies sound generated by turbulent flows interacting with solid ...
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 ...
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 ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
Aeroacoustics studies the creation and spread of sound from unsteady flow with solid structures. Computational ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
The previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
To reduce the C02 footprint of the current energy and transport sector, hydrogen has become one of the most promising ...
Since the beginning of the past century people are interested in the mechanisms which produce the sound caused by a drop ...
In recent years studying the field of aeroacoustics has been received special attention from researches for its ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
Aerodynamic sound contributes significantly to the noise emission of high-speed applications such as trains, aircraft ...
Among the major sources of energy supply, pulverized coal combustion (PCC) will remain one most dominant contributors in ...
Ammonia borane (NH3BH3) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...