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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 31 - 60 of 139
Development of Methods and Concepts for the Processing of Geodata for Detailed 3D City Models
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
IngenieurwissenschaftenInformatik
Dislocations for Defect-Based Quantum Computing
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
NaturwissenschaftenPhysik der kondensierten MaterieIngenieurwissenschaftenMaterialwissenschaft
First-Principles Calculations of Spectroscopic Signatures II
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
NaturwissenschaftenPhysik der kondensierten Materie
Generation of Training Data for Hardware-Friendly Hash-Width Estimation
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
IngenieurwissenschaftenInformatik
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
IngenieurwissenschaftenInformatik-
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
NaturwissenschaftenPhysik der kondensierten Materie 
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
IngenieurwissenschaftenInformatik-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
IngenieurwissenschaftenInformatik 
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
IngenieurwissenschaftenInformatik
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
IngenieurwissenschaftenInformatik
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
IngenieurwissenschaftenInformatik-
Neural Scene Understanding For Robotics
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
IngenieurwissenschaftenInformatik 
Numerical Bounds on Few Body Sector-Lengths
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
NaturwissenschaftenTeilchen, Kerne und FelderIngenieurwissenschaftenInformatik
Optical Response of (Hetero)Adamantine Clusters
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
NaturwissenschaftenPhysik der kondensierten Materie
Performance Profiling Tools for Large-Scale Scientific Applications
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Engineering SciencesComputer Science
Phase Diagram of Inertial Active Brownian Particles
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
NaturwissenschaftenPhysik der kondensierten Materie
Policy Optimization with Learning and Planning in Continuous Spaces
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
IngenieurwissenschaftenInformatik
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Engineering SciencesComputer Science-
SecBic - A Platform for Genome Privacy Based on Homomorphically Biclustering Analysis
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
IngenieurwissenschaftenInformatik 
Simulation Structural Plasticity
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
IngenieurwissenschaftenInformatik-
The Measurement-Based Quantum Eigensolver
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
NaturwissenschaftenOptik, Quantenoptik und Physik der Atome, Moleküle und PlasmenIngenieurwissenschaftenInformatik 
Ultrafast Laser Induced Structural Motion in Thin Au Films
A recent ultrafast electron diffraction experiment led by our collaborator has showed an interesting response of a thin ...
NaturwissenschaftenPhysik der kondensierten Materie-
Ab Initio Modeling of Iron in Molecular, Surface and Bulk Environments
In a hydrogen fuel cell, that consists of an anode and a cathode, oxidation and reduction reactions occur simultaneously ...
NaturwissenschaftenPhysik der kondensierten Materie 
Active Exploration for Robotic Manipulation
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
IngenieurwissenschaftenInformatik
Adaptive Autonomous Assembly
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
IngenieurwissenschaftenInformatik
CCDCGAN: Inverse design of crystal structures
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
NaturwissenschaftenPhysik der kondensierten Materie
Combining Regenerative and Degenerative Methods in Growing Neural Networks
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
IngenieurwissenschaftenInformatik-
Conquering Noise with Hardware Counters on HPC Systems
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
IngenieurwissenschaftenInformatik 
Cryptanalysis of SIDH Cryptosystem using Heterogeneous Hardware I
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
IngenieurwissenschaftenInformatik
