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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 91 - 120 of 587
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
IngenieurwissenschaftenInformatik
High Fidelity Numerical Simulations of Atomization Process for Two-Fluid Nozzles
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
Ingenieurwissenschaften-
High-Resolution CFD Modeling of a Large-Scale Short-Term Thermal Energy Storage Unit
With the increasing use of renewable energy comes an increasing volatility in energy supply due to external factors ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik 
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-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
IngenieurwissenschaftenInformatik 
Improved Nuclear Energy-Density Functionals from Local Chiral-Effective-Field-Theory Interactions
Nuclear energy density functionals successfully reproduce properties of nuclei across almost the entire nuclear chart ...
NaturwissenschaftenTeilchen, Kerne und Felder
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
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
IngenieurwissenschaftenInformatik
Influence of Wheel Wake on Vehicle Aerodynamics: A Numerical Study using Eddy-Resolving Turbulence Models
Motivated by the cost-cutting in the process of vehicle certification, the industry sees a growing potential in the ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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-
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System II
Inverse optimal control (IOC) is the problem of inferring an agent's cost function and other properties of their ...
LebenswissenschaftenNeurowissenschaft 
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
IngenieurwissenschaftenInformatik
Investigation of Photochemical Pathways to Metal-Nitrene Compounds from Azide Precursors I
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Investigation of Spin Isomers in SnNFe with N = 8-16
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Investigation of the Diastereodivergent Asymmetric Allylic Alkylation of Cyclobutenes
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing and ...
NaturwissenschaftenMolekülchemie-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure II
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
NaturwissenschaftenTeilchen, Kerne und Felder
Learning by Building: Construction of Voltage-Dependent Ion Channels From Modular Components
As facilitators of ionic currents across biological membranes, voltage-dependent K+ channels are involved in a broad ...
LebenswissenschaftenGrundlagen der Biologie und Medizin
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Ingenieurwissenschaften
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
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
MD-Simulations to Study the Effect of Electric Fields on the SARS-CoV-2 Postfusion Structure
The interaction between the Spike (S) glycoprotein and the ACE2 receptor on the host cell constitutes the pivotal ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
IngenieurwissenschaftenInformatik
Micromagnetic Simulation on SmCo5-Cu Nanocomposites to Investigate Influence of Amorphous Phase
Along with technological advancements, the search for better-performing functional materials is also deepening. Having ...
Engineering SciencesMaterials Science
Mixture Formation and Combustion of Alcohols and Other Biogenic Fuels in Mixture-Controlled Combustion Processes
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Model Predictive Control With Integrated Condition Observer for the Adjustment of Component Quality for Incremental Forming of Vulcanized Fiber
Over the past decade, there has been a significant shift in the industrial sector towards sustainability, leading to ...
IngenieurwissenschaftenProduktionstechnik
Modeling Soft and Biological Matter Systems
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
