Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 608
Biogenic Stabilizers: Structure – Property Relationships
Additives are crucial for the functioning and application of plastics. They enable applications in which special ...
Natural SciencesPolymer Research
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 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
Bayesian Inferences of the Nuclear Equation of State
The dense matter equation of state (EOS), which describes the properties of matter at very high densities, plays a key ...
Natural SciencesParticles, Nuclei and Fields
Controlling the Aggregation of Phosphorescent alkynyl-Pt-NHC Complexes via Silyl-DED Substitution
Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
Natural SciencesPhysical and Theoretical Chemistry
Data Synthesis for Large-Scale Hydrodynamic Model Inference
Continuum models are of utmost importance in different fields of research and are often used to describe the macroscopic ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Defect chemistry and Band structure of NBT-xBT
Sodium bismuth titanate-barium titanate (Na0.5Bi0.5TiO3-BaTiO3, abbreviated as NBT- BT) with high Curie temperature and ...
Natural SciencesChemical Solid State and Surface Research-
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 -
First-Principles Calculations of Spectroscopic Signatures III
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Natural SciencesTheoretical Condensed Matter Physics 
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-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
Large-Scale Biophysics with Hartree-Fock
Quantum-mechanical calculations are needed for highly accurate investigations of molecules. They allow a subatomic ...
Life Sciences
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
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 -
Multiscale Simulations of Mass Transport in Physically Reconstructed Porous Media
The goal of this preparation project was porting and scalability analysis of the in-house parallel codes developed for ...
Natural SciencesPhysical and Theoretical Chemistry 
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 
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
Three-Dimensional Core-Collapse Supernova Simulations With Nuclear Reaction Networks
Massive stars end their life in core-collapse supernovae (CCSN). These explosive events are triggered by the collapse of ...
Natural SciencesAstrophysics and Astronomy-
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
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
