Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 31 - 53 of 53
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
Unraveling SARS-Cov-2 Spike Protein Conformational Dynamics Under the Influence of Electric Fields
The spike glycoprotein's interaction with the ACE2 receptor on the host cell is the crucial initial step for virus entry ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics-
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
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
Modeling of Large Proteins in DNA Repair
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Natural SciencesEngineering SciencesComputer Science
Molecular Dynamics Study of the Sodium/Potassium Channels HCN
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
Life SciencesBasic Research in Biology and Medicine
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 Cosolvent Surfactant Mechanism Affects Polymer Collapse in Miscible Good Solvents
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
Natural SciencesPhysical and Theoretical 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-
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 -
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 
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science
Molecular Dynamics Study of the Sodium/Potassium Channels HCN
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
Life SciencesBasic Research in Biology and Medicine
Cononsolvency in Aqueous Alcohols Solutions
Smart polymers respond to environmental factors such as change in temperature, pH, or solvent. An example is the ...
Natural SciencesPhysical and Theoretical Chemistry
Influence of Osmolytes on the Solvation of Peptides and Model-Peptides
The influence of osmolytes, like Trimethylamine-N-oxide (TMAO) and urea, on protein folding is well studied, yet the ...
Natural SciencesPhysical and Theoretical Chemistry
Modeling of Sortase-Linker Interactions for the iGEM Competition
Sortase A7M is an enzyme, which catalyzes the linking reaction of the N-terminal and the Cterminal region of two ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics-
Efficient representations of deep neural networks
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
Engineering SciencesComputer Science
