Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 1 - 18 of 18
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-
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
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 
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
