
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 31 - 60 of 147
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
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 ...
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 ...
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
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 ...
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 ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
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 ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
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 ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...