# Projects

Hessian scientists of various disciplines are using High Performance Computers for their research.

Hessian scientists of various disciplines are using High Performance Computers for their research.

Displaying 1 - 23 of 23

### 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 No-Core Shell Model

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### 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### Designing an Efficient Neural Architecture Search

Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...

Engineering SciencesComputer Science### Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions

Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...

Engineering SciencesComputer Science### Effect of Infinite Time-Horizons on Genetic Algorithms

Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...

Engineering SciencesComputer Science### Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure

The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...

Natural SciencesParticles, Nuclei and Fields### High Throughput Optimization of Permanent Magnetic Materials

Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...

Engineering SciencesMaterials Science### Inverse Reinforcement Learning by Matching Feature Distributions

Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...

Engineering SciencesComputer Science### Matrix Elements of New Families of Chiral Interactions

The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...

Natural SciencesParticles, Nuclei and Fields### Measure-Valued Derivatives for Reinforcement Learning

Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...

Engineering SciencesComputer Science### Modeling of Large Proteins in DNA Repair

DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...

Natural SciencesEngineering SciencesComputer Science### Molecular Dynamics Simulation of Laser Powder Bed Fusion of Metallic Glasses

The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...

Engineering SciencesMaterials Science### Multi-Scale Modeling of Additive Manufactured Magnetic Materials

In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...

Engineering SciencesMaterials Science### Noise Resilient Empirical Performance Modeling with Deep Neural Networks

Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...

Engineering SciencesComputer Science### Precision Scale Setting Directly at High Temperatures Using Gradient Flow

The overarching goal of our research project is the determination of the QCD topological susceptibility X

_{top}(T) at very ...Natural SciencesParticles, Nuclei and Fields### Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions

One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...

Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science### Reinforcement of Cr-Mn-Fe-Co-Ni High Entropy Bulk Metallic Glasses: A Molecular Dynamics Study

We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...

Engineering SciencesMaterials Science### Revealing Temperature-Gradient-Driven Effects in Unconventional Sintering by Non-Isothermal Phase-Field Modeling

Employment of treatments other than heat or pressure control distinguishes the unconventional sintering from the ...

Engineering SciencesMaterials Science### Scalability of OpenMP

This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...

Engineering SciencesComputer Science### Topic Modelling in Literary Studies

The project aims to calculate and evaluate a series of topic models for a corpus of literary texts (a collection of ...

Humanities and Social SciencesLiterary Studies### When to Trust Your Model in Model-based Value Expansion?

Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...

Engineering SciencesComputer Science