Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 39
Approximate Bayesian Decision Theory With Neural Networks
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Humanities and Social Sciences
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
Engineering SciencesComputer Science
Influence of Mixing Characteristics on Polymerization Reactors
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
Engineering SciencesProcess Engineering, Technical Chemistry
Parallel Finite Element Methods for Complex Flows of Complex Fluids
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Parametric Study on Determination of Load-Bearing Capacity of Dry-stacked Masonry Wall under Cyclic Loading
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Engineering SciencesConstruction Engineering and Architecture-
Preliminary Study for Power Forecasting of Machines in Industrial Production Systems With Neural Networks
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
Engineering SciencesMechanics and Constructive Mechanical Engineering -
Utilizing Mamba for Microorganism Protein Synthesis Prediction
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Engineering SciencesComputer Science -
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Engineering SciencesComputer 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
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer Science
Deriving of Design Guidelines for Cold Flow Combustors Based on Flow Phenomena in Combustors Under Real Operating Conditions
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Engineering SciencesComputer Science-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Engineering SciencesComputer Science 
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Engineering SciencesMaterials Science-
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
Natural SciencesTheoretical Condensed Matter Physics 
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Engineering SciencesComputer Science
Predicting Human Similarity Judgments Using Normalizing Flows
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Humanities and Social Sciences
Reliability of Statically Indeterminate Concrete Beams With GFRP Reinforcement
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
Engineering SciencesConstruction Engineering and Architecture
CCDCGAN: Inverse design of crystal structures
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
Natural SciencesTheoretical Condensed Matter Physics
Combining Regenerative and Degenerative Methods in Growing Neural Networks
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
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
Performance Analysis of the Ice-Sheet and Sea-Level System Model (ISSM)
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
Engineering SciencesComputer Science
Performance Enginnering of the Confined Unconfined Aquifer System Model (CUAS)
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
Engineering SciencesComputer Science
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-
From RNA Sequence to Coarse-Grained Molecular Dynamics
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics 
High-Throughput Design of New Perovskite Oxide Antiferroelectric Materials
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
Natural SciencesTheoretical Condensed Matter Physics-
Image Analysis and Calibration of High Dimensional Deformable Cell Models in Complex Geometries Using Advanced Interaction Schemes
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
Life SciencesBasic Research in Biology and Medicine -
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engineering SciencesComputer 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
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
Engineering SciencesComputer Science
