
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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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 ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
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 ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
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 ...
The compound semiconductor system Cu(In, Ga)(S, Se)2 (short: CIGS) forms the basis for the currently most efficient thin ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
In variational inference, we want to approximate an intractable target distribution (often given as a posterior ...
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
In previous project we investigated on the scaling and the load balancing of the Ice-sheet and Sea-level System Model ...
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...