Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 31 - 60 of 71
Properties of Iron-Tin Clusters
For transition metal doped clusters, the transition metal and the host element play a fundamental role in the physical ...
Natural SciencesPhysical and Theoretical Chemistry
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Engineering SciencesComputer Science
Scientific Machine Learning for Chemical Kinetics
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
Engineering SciencesProcess Engineering, Technical Chemistry
Structure Discrimination and Magnetic Properties of FeSnN with N =8–15
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Natural SciencesPhysical and Theoretical Chemistry
The Physical Informed Machine Learning Guided Material Design and Characterization
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
Engineering SciencesMaterials Science
Understanding and Exploiting an Iron Catalysed Route to New Chemical Synthons II
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
Natural SciencesPhysical and Theoretical Chemistry
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
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-
Learning for Decentralized, Long-Horizon Manipulation
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
Engineering SciencesSystems Engineering 
Optical Spectroscopy, Dielectric Properties and Structure Discrimination of SnN (20 ≤ N ≤ 40)
The previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
Natural SciencesPhysical and Theoretical Chemistry
Structure Discrimination of SnNGa with N = 9–15
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
Natural SciencesPhysical and Theoretical Chemistry
Understanding and Exploiting an Iron Catalysed Route to New Chemical Synthons
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
Natural SciencesPhysical and Theoretical Chemistry-
Visuomotor Control of Pouring Liquids
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
Life SciencesNeurosciences 
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
Investigation of the Electronic Structure of Nitrogen Photoactivation Complexes
Ammonia derived from atmospheric N2 and fossil H2 in the Haber-Bosch process represents the main source of nitrogen ...
Natural SciencesPhysical and Theoretical Chemistry
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
Optical Absorption Studies and Quantum Chemistry of a Tin Nanoparticle
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Natural SciencesPhysical and Theoretical Chemistry
Optical Spectroscopy, Dielectric Properties and Structure Discrimination of Sn+N (20≤N≤40) Clusters
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
Natural SciencesPhysical and Theoretical Chemistry
Quantum Chemical Investigation of Spectroscopic Properties of Iron Complexes as Models for Fe-N-C Fuel Cell Catalysts
Fe-N-C catalysts are a promising substitution material for rare and expensive platinum catalysts on the cathodic side of ...
Natural SciencesPhysical and Theoretical Chemistry
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
Activation of Small Molecules With Metal-Free Systems
Ammonia borane (NH3BH3) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...
Natural SciencesMolecular Chemistry
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
Computational Modelling of Multiple Photoswitches
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
Natural SciencesMolecular Chemistry-
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
