Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 11 of 11
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
Engineering SciencesComputer Science
Calculations of Vibrational Spectra for Different Facets of Ceria Using Density Functional Theory (DFT)
Ceria is an important support material for precious metals to catalyze oxidation reactions such as CO oxidation or the ...
Natural SciencesChemical Solid State and Surface Research
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 ...
Engineering SciencesMaterials Science
Efficient Gas Engines for Maritime Applications of the Next Generation
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
High Throughput Screening and Tuning of Magnetic Two Dimensional Materials
The demand of minimization and feasibility of integration makes two-dimensional (2D) materials remarkable in promising ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Screening for Spin-Polarized Current in Noncollinear Materials
Like perovskite materials, antiperovskites (APVs) display many intriguing physical properties. Particularly, the ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Screening of Topological Properties in Ferromagnets
In this work, we performed first-principles calculations to evaluate the anomalous Hall conductivity as well as the ...
Natural SciencesTheoretical Condensed Matter Physics
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 ...
Engineering SciencesMaterials 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
Multi-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
Engineering SciencesComputer Science
Multi-Scale Modeling of Additive Manufactured Magnetic Materials
In need for alternatives to conventional cooling devices, the magnetocaloric effect (MCE) is one of the most promising ...
Engineering SciencesMaterials Science
