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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 1 - 30 of 54
Multiscale Modelling of Cement-Based Materials III
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
IngenieurwissenschaftenBauwesen und Architektur
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials II
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
IngenieurwissenschaftenMaterialwissenschaft
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenInformatik
Designing Materials With Photo-Induced Phase Transitions
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
NaturwissenschaftenPhysik der kondensierten Materie
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
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-
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 Design Co-based Heusler Alloys as Multi-Functional Magnetic Materials via Substitutional Doping
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
IngenieurwissenschaftenMaterialwissenschaft
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
IngenieurwissenschaftenMaterialwissenschaft-
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
Interatomic Potentials for Li-Si-O and Si-O-C
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
IngenieurwissenschaftenMaterialwissenschaft
Machine-Learning Models and Potentials for Various Systems
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Engineering SciencesMaterials Science
Multiscale Modelling of Cement-Based Materials II
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
IngenieurwissenschaftenBauwesen und Architektur
The Physical Informed Machine Learning Guided Material Design and Characterization
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenMaterialwissenschaft
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
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 ...
IngenieurwissenschaftenInformatik
Electronic Structure Calculations on the Influence of Alkali Metals on the Properties of Ag-Containing Cu(In, Ga)(S, Se)2 Absorber Materials
The compound semiconductor system Cu(In, Ga)(S, Se)2 (short: CIGS) forms the basis for the currently most efficient thin ...
IngenieurwissenschaftenMaterialwissenschaft
Interatomic Potentials for Amorphous Solids From Second Principles
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
IngenieurwissenschaftenMaterialwissenschaft
Multiscale Modelling of Cement-Based Materials
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
IngenieurwissenschaftenBauwesen und Architektur
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials I
Layered transition metal oxides are employed as cathode materials in high-voltage, rechargeable lithium ion batteries ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenMaterialwissenschaft
Calculating Temperature Dependent Properties of 2D Magnets
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
IngenieurwissenschaftenMaterialwissenschaft
Elucidating the CO2 Activation in the Context of the Reverse Water Gas Shift Reaction
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
High-Throughput Design of New Perovskite Oxide Antiferroelectric Materials
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
NaturwissenschaftenPhysik der kondensierten Materie
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
IngenieurwissenschaftenMaterialwissenschaft
