Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 1 - 30 of 48
A Megaminx Solver
Twisty puzzles, such as the Rubik’s Cube, are among the most popular types of puzzles and continue to fascinate people ...
Natural SciencesMathematics
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
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
CASSCF Study for Magnetic Properties of Transition Metal Doped Tin Clusters
Molecular beam experiments on metal clusters enable to investigate their physical properties in a vacuum without any ...
Natural Sciences
Computational Investigation of 19F NMR Chemical Shifts in Fe(II) Complexes
Selective fluorination of organic ligands is a powerful strategy to tune the polarizability and solvation properties of ...
Natural SciencesPhysical and Theoretical Chemistry
Computational Stability Investigations on High Entropy Oxides for Oxygen Evolution Electro-Catalysis
High-entropy alloys (HEAs) materials are well-defined by their formation of at least five or more principal elements in ...
Natural SciencesPhysical and Theoretical Chemistry-
Continual Learning for very Short-Term Load Forecasting: A Case Study on Parts Cleaning
Industrial production systems play a central role in transition toward more flexible and sustainable energy use. In ...
Engineering Sciences 
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 -
Electron/Hole Small Polarons in PbTiO3, BaTiO3 and NaNbO3
In this project the stability of small and bound polarons as a possible charge-compensation mechanism in the perovskite ...
Engineering SciencesMaterials Science -
Exploring Future Directions of Machine Learning-Based Cryptanalysis
Differential cryptanalysis exploits non-uniformities in a block cipher’s output-difference distribution that arise from ...
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-Fidelity Calculations of Charge Transition Levels and Formation Energies of Point Defects in Strontium and Barium Titanate
Electroceramic materials are integral to modern technology, with applications ranging from capacitors and temperature ...
Natural SciencesTheoretical Condensed Matter Physics
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-
High-Throughput Screening of 2D Hybrid Organic-Inorganic Perovskites (HOIPs)
To meet the ever-growing global energy demand, researchers are continuously exploring new materials. Perovskites ...
Natural SciencesTheoretical Condensed Matter Physics -
Hindsight Experience Replay for neural-guided Monte Carlo Tree Search
Modern artificial intelligence often struggles with tasks where success is rare or difficult to define. In many ...
Engineering SciencesComputer 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-
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure IV
The primary objective of ab initio nuclear structure theory is the precise description of correlated many-nucleon ...
Natural SciencesParticles, Nuclei and Fields 
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
Mechanism of TMEM175 Proton Activation
ransmembrane protein 175 (TMEM175) is a cation channel ubiquitously expressed on endosomal and lysosomal membranes ...
Life Sciences
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
Modelling of Local Failure Mechanisms and Macroscopic Strength Properties of HyPo (Hybrid Porous)-Materials
Hybrid porous materials combine different metallic phases with an intentionally designed pore structure. This ...
Engineering SciencesMechanics and Constructive Mechanical Engineering
