Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 354
Flow Regimes within Horizontal Particle-Laden Annular Pipe Flows
The understanding of particle-laden flows, particularly gas-solid flows in horizontal annular pipes, remains limited ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Additive Manufacturing of Magnetic Materials using Functionalized Nanoparticles: Insights from Molecular Dynamics Simulation
Laser powder bed fusion is an additive manufacturing technology involving a gradual build of layers to form a complete ...
Engineering SciencesMaterials Science
Analysis of High Resolving DNS of H2 and NH3 Flames
The global shift toward sustainable energy systems has created an urgent need to develop clean and efficient ...
Engineering SciencesProcess Engineering, Technical Chemistry
Analysis of the Lyapunov Stability of Grid Forming Converters Using Sum of Squares Optimization
With the increasing integration of renewable energy sources, modern power systems are shifting from conventional ...
Engineering SciencesElectrical Engineering and Information Technology
Atomistic Simulations of the Grain Boundaries Mobility and Defect Influence on the Magnetic Materials
Understanding the sintering behavior of nanoparticles has become crucial, due to high surface energy and surface-to ...
Engineering SciencesMaterials Science
Distributed Intelligence: Federated Learning in Cardiovascular Data
In recent years, Cardiovascular diseases (CVDs) and other cardiac abnormalities have been on the rise, becoming a ...
Life SciencesBasic Research in Biology and MedicineEngineering SciencesSystems Engineering-
Fault Tolerance and Locality-Aware Work Stealing for Dynamically Generated Dependent Tasks on Clusters
Programming environments for today’s supercomputers must support the design of efficient programs and handle issues such ...
Engineering SciencesComputer Science 
Feature Engineering for Deep Spatiotemporal Prediction in Last-Mile Logistics
Accurately predicting recipient presence at their delivery address is a critical challenge in last-mile logistics, as ...
Engineering SciencesElectrical Engineering and Information Technology
GPU-Accelerated Solution of Many Small ODE Systems for High-Temperature Component Lifetime Modeling
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
Engineering SciencesMaterials ScienceComputer Science-
High-Level Modeling, Imitation and Control for Locomotion, Autonomous Driving, and Resource Allocation
Reinforcement Learning (RL) and Imitation Learning (IL) enable intelligent systems to learn desired behaviors ...
Engineering SciencesComputer Science 
High-Throughput Design of High Entropy Alloys
The quest for advanced materials that simultaneously exhibit high mechanical hardness and soft magnetic behavior poses a ...
Engineering SciencesMaterials Science-
Improving Profiling Tools for Performance Analysis Using Lightweight Instrumentation
Building upon the foundational work from the previous year, our research continued to evolve, focusing on enhancing ...
Engineering SciencesComputer Science 
Investigation of Iron Dust Flames in a Channel
Iron powder offers a clean and sustainable pathway for heat and power generation and has the potential to replace ...
Engineering Sciences
Large Eddy Simulations of a Turbulent Iron Particle Jet
Iron powder is a promising carbon-free energy carrier due to its abundance, recyclability, and high volumetric energy ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Machine-learning Interatomic Potential for High Entropy Half Heusler Materials
Addressing the urgent challenges of the energy crisis and global warming has become imperative. Thermoelectric (TE) ...
Engineering SciencesMaterials Science
Metallic Glass Relaxation: Long Time Dynamics and Delution Response
Metallic glasses are solids with a disordered atomic structure, giving them unique mechanical and dynamic properties ...
Engineering SciencesMaterials Science
Micromagnetic Modelling of Hard and Soft Magnetic Materials
Magnetic materials are essential for modern applications, ranging from renewable energy sources to e-mobility. Improving ...
Engineering SciencesMaterials Science-
mRNA Sequence Optimization via Neural Surrogate Modeling of Translation Initiation
In this Bachelor's thesis, a neural surrogate model was developed to predict the Minimum Free Energy (MFE) of mRNA ...
Engineering SciencesElectrical Engineering and Information Technology -
Multiple Scattering Theory Simulation for Single-Crystal Fe-Based Compounds and Automated Material Characterization Based on Machine Leaning
Spectroscopy plays a pivotal role in materials science by providing fundamental insights into the composition, structure ...
Engineering SciencesMaterials Science 
Noise-Sensitivity of Algorithms and Applications
In modern scientific research, HPC systems are irreplaceable for advancing knowledge across various fields. However, as ...
Engineering SciencesComputer Science
Numerical Simulation of Nucleate Boiling in Microgravity
Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics-
Optimisation of the Control of Waste Incineration Plants Through Dynamic Process Modelling and the Use of Innovative Monitoring Methods
The efficient and environmentally friendly operation of waste incineration plants is becoming increasingly important. In ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics 
Optimization of the Model Parameters and Muscle Excitations of a Human Jaw Model
Temporomandibular disorders affect approximately 10 percent of the global population, causing pain, restricted jaw ...
Engineering Sciences
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Engineering SciencesComputer Science-
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Contact-rich manipulation remains one of the most challenging tasks in robotics, requiring precise control under noisy ...
Engineering Sciences 
Sparse Mean Field Control for Multi-Agent Systems
Large agent networks are abundant in applications and nature and pose difficult challenges in the field of multi-agent ...
Engineering SciencesComputer Science
TEM Diffraction Pattern Analysis with Deep Learning Networks
The microstructure of a material strongly influences its properties and must therefore be studied carefully to tailor ...
Engineering SciencesMaterials Science-
Training Neural Networks for Collision Avoidance
The increased popularity of drones and unmanned aerial vehicles (UAVs) for both commercial and recreational purposes has ...
Engineering Sciences 
Training of Deep Learning Models for Water Segmentation
Floods represent one of the most frequent and damaging natural disasters, causing loss of life, infrastructure failure ...
Natural SciencesGeophysics and GeodesyEngineering SciencesComputer Science
Uninterrupted and Continuous Connectivity in Wireless Networks Using RISs
Reconfigurable Intelligent Surfaces (RISs) are being explored to enhance wireless links when the line of sight (LoS) ...
Engineering SciencesElectrical Engineering and Information TechnologyComputer Science
