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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 1 - 30 of 43
Calculating Reaction Energy Barrier of HCN Formation From CH2O With CuSSZ13 Zeolite Catalyst
Biomass-derived fuels are promising candidates to replace traditional fossil-based fuels for mobility and propulsion but ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
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
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
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
Improving the Model-Based Prediction of Vibroacoustic Vehicle Properties by Mastering Uncertainty
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau
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
Scientific Machine Learning for Chemical Kinetics
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
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
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-
Generation of Training Data for a Gaussian Process Based Surrogate Model
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Ingenieurwissenschaften -
Implementation and Validation of an Approach for Statistical Parameter Calibration
The prediction accuracy of models is affected using deterministic parameters. That is because the uncertainty of these ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau 
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-
Sensitivity Analysis of a Complex Multibody System
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Ingenieurwissenschaften 
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
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
IngenieurwissenschaftenMaterialwissenschaft
Multi-Scale Modeling of Additive Manufactured Magnetic Materials
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
IngenieurwissenschaftenMaterialwissenschaft
Probabilistic Power Plant Dispatch Prediction
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik
Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...
NaturwissenschaftenPhysik der kondensierten MaterieIngenieurwissenschaftenMaterialwissenschaft
Defect Properties of Lead-Free Antiferroelectrics for Energy Storage Applications
Dielectric capacitors are considered to be promising candidates for energy storage applications in high power ...
IngenieurwissenschaftenMaterialwissenschaft-
Intelligent Optimization Process Through Reinforcement Learning
Lighting, both natural and artificial, has become a part of our daily lives that have been taken for granted in modern ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik 
Intermediate Bands in Indium Thiospinels
In Cu(In,Ga)(S,Se)2 (CIGS) thin-film solar cells, Ga gradient forms readily during the CIGS growth resulting to a high ...
IngenieurwissenschaftenMaterialwissenschaft
