
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 32
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 ...
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 ...
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 ...
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 ...
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 ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
The electronic structure plays a key role in determining the physical properties of highly correlated electron systems ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
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 ...
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 ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
The accurate prediction of combustion processes requires to compute the flow, the concentration, and the chemical ...
Permanent magnets are an important component in a wide range of everyday devices. Present high performance magnets like ...
Since nearly 86% of the world wide energy demand is obtained through combustion, it is necessary to improve related ...
The objective to reduce the emission of the greenhouse gas CO2 has a high priority in today’s energy supply. However, in ...
The separation of CO2 in oxy-coal combustions is facilitated through firing coal in oxygen (O2) enriched recirculated ...