Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Displaying 1 - 30 of 81
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
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-
Atomic Scale Modeling of Coherent Phase Transitions in Energy Storage Materials
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
Engineering SciencesMaterials Science 
Learning by Building: Construction of Voltage-Dependent Ion Channels from Modular Components II
Voltage-dependent K+ channels are facilitators of a diverse set of physiological processes, including neuronal signaling ...
Life Sciences
Simulation of in-situ Alloying of High Entropy Alloys During Additive Manufacturing Using Molecular Dynamics
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Engineering SciencesMaterials Science
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials II
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
Engineering SciencesMaterials Science
Computer-Aided Analysis of Time-Lapse Microscopy Data II
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Life SciencesBasic Research in Biology and Medicine
Deformation Phenomena in Metallic Glass/High Entropy Nanolaminates
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Engineering SciencesMaterials Science
Dislocations for Defect-Based Quantum Computing
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science
High-Throughput Design Co-based Heusler Alloys as Multi-Functional Magnetic Materials via Substitutional Doping
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Engineering SciencesMaterials Science
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Engineering SciencesMaterials Science
Interatomic Potentials for Li-Si-O and Si-O-C
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Engineering SciencesMaterials Science-
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System II
Inverse optimal control (IOC) is the problem of inferring an agent's cost function and other properties of their ...
Life SciencesNeurosciences 
Learning by Building: Construction of Voltage-Dependent Ion Channels From Modular Components
As facilitators of ionic currents across biological membranes, voltage-dependent K+ channels are involved in a broad ...
Life SciencesBasic Research in Biology and Medicine
Machine-Learning Models and Potentials for Various Systems
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Engineering SciencesMaterials Science
Micromagnetic Simulation on SmCo5-Cu Nanocomposites to Investigate Influence of Amorphous Phase
Along with technological advancements, the search for better-performing functional materials is also deepening. Having ...
Engineering SciencesMaterials Science
The Physical Informed Machine Learning Guided Material Design and Characterization
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
Engineering SciencesMaterials Science
A Machine-Learning Interatomic Potential for the Si-O System
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
Engineering SciencesMaterials Science-
Computer-Aided Analysis of Time-Lapse Microscopy Data I
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Life Sciences 
Electronic Structure Calculations on the Influence of Alkali Metals on the Properties of Ag-Containing Cu(In, Ga)(S, Se)2 Absorber Materials
The compound semiconductor system Cu(In, Ga)(S, Se)2 (short: CIGS) forms the basis for the currently most efficient thin ...
Engineering SciencesMaterials Science
Interatomic Potentials for Amorphous Solids From Second Principles
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
Engineering SciencesMaterials Science
Investigation of Domain Switching Mechanics of Perovskite Ferroelectrics using Molecular Dynamics Simulations
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
Engineering SciencesProcess Engineering, Technical ChemistryMaterials Science
Reinforcement of High-Entropy Metallic Glasses: A Molecular Dynamics Study
Since their invention in the 1960s, metallic glasses (MGs) gained great attention due to their high strength and elastic ...
Engineering SciencesMaterials Science
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials I
Layered transition metal oxides are employed as cathode materials in high-voltage, rechargeable lithium ion batteries ...
Engineering SciencesMaterials Science-
Visuomotor Control of Pouring Liquids
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
Life SciencesNeurosciences 
Ab-initio Modeling of Battery Materials
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Engineering SciencesMaterials Science
Ab-Initio Thermodynamics of Refractory Mo-Si-Ti Phases at High Temperatures
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
Engineering SciencesMaterials Science
Calculating Temperature Dependent Properties of 2D Magnets
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
Engineering SciencesMaterials Science
Determination of Effective Electric Conductivity of UFG/PEI-Composites Considering Quantum Mechanical Tunnelling Effects
To reduce fuel consumption, the focus in vehicle construction shifts to lightweight constructions based on Mg or Al ...
Engineering SciencesMaterials Science
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Engineering SciencesMaterials Science
