Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 61 - 75 of 75
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-
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 
Improved Dynamics in Hybrid Particle-Field Simulations of Polymers With Slip-Spring Model
Entanglements between polymer chains are demonstrated as one of the key factors to modulate the macroscopic physical ...
Natural SciencesPhysical and Theoretical Chemistry
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science
Phase Diagram Calculations for 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
Structure-Property Relationships in Metallic Glasses
The current limits of metallic glasses are tied to their brittle behavior at room temperature [1]. To overcome brittle ...
Engineering SciencesMaterials Science
Ductile Shape Memory-Amorphous Nanolaminates
We model the deformation behaviour of metallic amorphous/crystalline nanolaminate systems using molecular-dynamics ...
Engineering SciencesMaterials Science
Role of Preferential Cosolvent Adsorption in Cononsolvency
Cononsolvency refers to the effect in which a polymer chain in good solvent collapses when it is mixed with an ...
Natural SciencesPhysical and Theoretical Chemistry
MnAs Nanocluster
Das Hauptaugenmerk unseres Forschungsprojektes ist die Simulation des Wachstums von Gold Atomen (Au) auf eine ...
Natural SciencesChemical Solid State and Surface ResearchOptics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
Molecular Dynamics Simulations of Nanoglasses
Metallic glasses (MGs) are of great technological interest because of their high strength and hardness [1]. However ...
Engineering SciencesMaterials Engineering-
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
