Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 61 - 90 of 99
First-Principles Calculations of Spectroscopic Signatures I
Ideal one-dimensional (1D) electronic systems are fascinating, as they show quantisation of conductance, charge-density ...
Natural SciencesTheoretical Condensed Matter Physics
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 ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Engineering SciencesMaterials Science
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Life SciencesNeurosciences
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Engineering SciencesComputer Science
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Engineering SciencesComputer Science
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 ...
Engineering SciencesMaterials Science
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 ...
Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Engineering SciencesComputer Science
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
Ab-initio Modeling of Battery Materials
Improved batteries are needed to meet increasing energy demands worldwide (e.g., portable and medical devices, e ...
Engineering SciencesMaterials Science
Effect of Strain on Transport Properties in Solid Electrolytes
Solid electrolytes (SE) in all-solid-state batteries due to their high safety and flexibility in design have attracted ...
Natural SciencesChemical Solid State and Surface Research
Ground- and Excited-State Properties of Substrate-Supported Nanowires Calculated From First Principles
Ideal one-dimensional electronic systems are characterized by unusual and fascinating physical phenomena, including ...
Natural SciencesTheoretical Condensed Matter Physics
High-Throughput Computational Screening Research on Mn-based Heusler Alloys
Comparing to traditional electronics, spintronics makes use of both charge and spin freedoms of electrons, which is ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Optimization of Permanent Magnetic Materials
Permanent magnets are an important component in a wide range of everyday devices. Present high performance magnets like ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Screening of Magnetic Antiperovskites
Analogous to perovskites, the antiperovskites (APVs) are also one of the most commonly explored materials in recent ...
Natural SciencesTheoretical Condensed Matter Physics
Interface Phenomena in Battery Materials and Exchange Spring Magnets
The project focused on interface phenomena in battery materials and exchange spring magnets but also studied the ...
Engineering SciencesMaterials EngineeringMaterials Science
Investigation of the Cell Size Effect of CeO2 on the Calculated Raman Spectra of VOx/CeO2 Catalysts
Ceria (CeO2) is an important support material for transition metal based oxides like vanadia (VOx). These VOx/CeO2 catal ...
Natural SciencesChemical Solid State and Surface Research
Investigation of Vacancy Diffusion in Crystalline LIPON Compounds by Means of Density Functional Theory
Due to an ever-increasing energy demand worldwide, new and efficient energy storage systems are needed more and more ...
Natural SciencesPhysical and Theoretical Chemistry
