Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 31 - 60 of 649
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-
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 Biophysics with Hartree-Fock
Quantum-mechanical calculations are needed for highly accurate investigations of molecules. They allow a subatomic ...
Life Sciences-
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-
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 
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
Parametric Study on Determination of Load-Bearing Capacity of Dry-stacked Masonry Wall under Cyclic Loading II
In the research areaof circular building design, design concepts for sustainable masonry are being implemented using ...
Engineering SciencesConstruction Engineering and Architecture-
Physics Meets Peace Research: Nuclear Verification with HPC
In this peace research project, techniques for verifying the disarmament and arms control of nuclear weapons are ...
Natural SciencesParticles, Nuclei and Fields 
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
Scale-Resolving Computational Study of Flow and Heat Transfer Dynamics in Fuel Cell Cooling Systems
Hydrogen fuel cells are considered a key technology for future sustainable energy systems, especially in the mobility ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics-
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
