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
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
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
Constraint Space Projection Reinforcement Learning
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Engineering SciencesComputer Science
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-
Evaluating and Improving Recurrent Kalman Networks
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Engineering SciencesComputer Science 
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
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
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
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
