
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 ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
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 ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
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 ...
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 ...
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 ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
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 ...
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 ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
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 ...
The demand of minimization and feasibility of integration makes two-dimensional (2D) materials remarkable in promising ...
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 ...