Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 12 of 12
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
A Machine-Learning Interatomic Potential for the Si-O System
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
Engineering SciencesMaterials Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Ab-initio Modeling of Battery Materials
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Engineering SciencesMaterials Science
Ab-Initio Thermodynamics of Refractory Mo-Si-Ti Phases at High Temperatures
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
Engineering SciencesMaterials Science
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engineering SciencesComputer Science
A Gaussian Approximation Potential for Silica
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
Engineering SciencesMaterials Science-
Model Learning With Recurrent Kalman Networks
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
Engineering SciencesComputer Science 
Modelling of Na-Ion Conductors
NASICON, short for Na+ Superionic Conductor, is a group of materials with the composition Na1+xZr2SixP3-xO12 with 0 < x ...
Engineering SciencesMaterials Science
Network Traffic Prediction with Neural Networks
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
Engineering SciencesComputer Science-
Performance Modeling at a Discount
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Engineering SciencesComputer Science -
Stochastic Search for Applications in Robotics
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Engineering SciencesComputer Science
