
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 31 - 60 of 74
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
The previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Ammonia borane (NH3BH3) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
After the matrix isolation of aminomethylene (H-C̈-NH2)[1] we study further the formation of amino acids and sugars in ...
Novel methods to access complex molecular structures open new avenues for applications in medicalas well as material ...
Novel methods to access complex molecular structures open new avenues for applications in medical as well as material ...
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
Alkanes are attractive feedstock chemicals due to their natural occurrence and they offer access to a wide variety of ...
Carbohydrates “(CH2O)n” or sugars are the formal adducts of carbon (atoms) to water with a repeating unit that ...
Our research focuses on the activation of stable bonds/small molecules. This is traditionally accomplished by transition ...
Azobenzenes (AB) are promising candidates for molecular solar thermal energy storage (MOST) systems. After synthesizing ...
Curved aromatic molecules are unique compounds as they combine special properties due to the delocalized π-system, with ...
Our investigation aimed at determining the photo-physical properties of an ammonium tagged azobenzene 1 in comparison to ...