Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 38
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 ...
Engineering SciencesMaterials Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Deformation Phenomena in Metallic Glass/High Entropy Nanolaminates
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Engineering SciencesMaterials Science
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 ...
Engineering SciencesComputer Science
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Engineering Sciences
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Engineering SciencesComputer Science
Modeling Soft and Biological Matter Systems
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
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 ...
Engineering SciencesMaterials Science
Active Exploration for Robotic Manipulation
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Engineering SciencesComputer Science
Adaptive Autonomous Assembly
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Engineering SciencesComputer Science
Conquering Noise with Hardware Counters on HPC Systems
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
Engineering SciencesComputer Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Multiscale Modelling of Cement-Based Materials
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
Engineering SciencesConstruction Engineering and Architecture
Quantifying the Dynamic Acceleration upon Coarse-Graining Using Machine Learning
Coarse-Grained molecular dynamics simulation is a promising alternative to all-atom molecular dynamics simulation for ...
Natural SciencesPhysical and Theoretical Chemistry
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 ...
Engineering SciencesMaterials Science
Algorithm Unfolding in Multicell Downlink MIMO Precoding
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Engineering SciencesElectrical Engineering and Information Technology
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Deep Reinforcement Learning: Benchmarking, Algorithms and Applications
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Engineering Sciences
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Engineering SciencesComputer 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
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
Molecular Dynamics Simulation of Laser Powder Bed Fusion of Metallic Glasses
The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
Engineering SciencesMaterials Science
Molecular Dynamics Simulation of a Tribology System
The MD method is suitable for studying the behavior of liquid molecular systems. According to past investigations in the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Reinforcement of Cr-Mn-Fe-Co-Ni High Entropy Bulk Metallic Glasses: A Molecular Dynamics Study
We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...
Engineering SciencesMaterials Science
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
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
A Gaussian Approximation Potential for Silica
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
Engineering SciencesMaterials Science
An Atomic Scale Perspective of Deformation Mechanims of Metallic Glasses
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Engineering SciencesMaterials 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-
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
