
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 31 - 60 of 227
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 ...
Metal fuels are promising green energy carriers due to their high volumetric energy density, recyclability, and ...
A decisive property of centrifugal compressors for turbochargers is the map width, which defines the area of the ...
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
The project focuses on the cryptanalysis of the Supersingular Isogeny (SSI) path problem, which underlies the isogeny ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
With the increasing use of renewable energy comes an increasing volatility in energy supply due to external factors ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Motivated by the cost-cutting in the process of vehicle certification, the industry sees a growing potential in the ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
Stainless steel doctor blading is a preferred method for predosing inks in industrial mass printing, offering ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
Despite the motion of drops seeming a simple phenomenon, the behavior of a droplet on an inclined solid surface is far ...