
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 111
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
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 ...
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 ...
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 ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
The advancing climate crisis requires the rapid reduction of CO2 emissions. One of the largest emitters is the energy ...
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Despite recent advances in numerical methods for multiphase flows, the complete simulation of a spray atomization is ...
Internal Combustion engines still play a significant role in today’s mobility and transport sector. They will still be ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Centrifugal pumps conveying gas-liquid flows are often designed based on pure liquid flows due to a limited ...
The second law analysis based on the entropy generation and exergy losses of the turbulent multiphase reacting flow is ...
The automotive diesel engine industry has to face the increasingly stringent emission. Since the incylinder combustion ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Fully developed turbulent flow in a concentric annulus with one or both walls rotation is essential in various ...
The safe supply of energy and electrical power will require operation of conventional power plants in the next decades ...
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
Historically, CFD codes implementing arbitrary Lagrangian Eulerian interface tracking (ALEIT) for the simulation of ...