
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 61 - 90 of 337
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 ...
Enhanced Geothermal Systems (EGS) exploit the Earth's geothermal energy resources, especially in areas with low ...
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
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 ...
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
With the increasing use of renewable energy comes an increasing volatility in energy supply due to external factors ...
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
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 ...
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
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 ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Along with technological advancements, the search for better-performing functional materials is also deepening. Having ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
Over the past decade, there has been a significant shift in the industrial sector towards sustainability, leading to ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
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 ...