Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Displaying 1 - 30 of 108
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 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure III
The prime goal of ab initio (hyper)nuclear structure theory is the description of correlated systems of many baryons ...
Natural SciencesParticles, Nuclei and Fields
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-
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
NaturwissenschaftenTeilchen, Kerne und Felder -
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
Natural SciencesParticles, Nuclei and Fields 
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
Calculation on the Sphaleron Rate on 4D Lattices
Quantum Chromodynamics (QCD), sometimes referred to as the strong force, explains the forces that govern atomic nuclei ...
Natural SciencesParticles, Nuclei and Fields
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
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure IV
The ab initio description of medium-mass nuclei is one of the most dynamic frontiers in nuclear structure theory. One ...
Natural SciencesParticles, Nuclei and Fields
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
Improved Nuclear Energy-Density Functionals from Local Chiral-Effective-Field-Theory Interactions
Nuclear energy density functionals successfully reproduce properties of nuclei across almost the entire nuclear chart ...
Natural SciencesParticles, Nuclei and Fields
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 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure II
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Natural SciencesParticles, Nuclei and Fields
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
Numerical Bounds on Few Body Sector-Lengths
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
Natural SciencesParticles, Nuclei and FieldsEngineering SciencesComputer Science-
Precision Nuclear Structure Calculations with the In-Medium Similarity Renormalization Group
The structure of nuclei gives fundamental insight into strong interactions between nucleons, beyond-standard-model ...
Natural SciencesParticles, Nuclei and Fields 
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
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure III
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
Natural SciencesParticles, Nuclei and Fields
