Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 47
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Engineering SciencesComputer Science
An Agent-Based Model of Radiation-Induced Lung Fibrosis
Radiation-induced lung injuries such as pneumonitis and lung fibrosis (RILF) can lead to respiratory failure and ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
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
Cold Quantum Gases in two Dimensions with IM-SRG and FCI
Ultracold atomic gases allow for a high control over experimental parameters such as the particle number or the ...
Natural SciencesOptics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
Compiler-Assisted Optimization and Modernization of MPI
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
Engineering SciencesComputer Science
Cryptanalysis of SIDH Cryptosystem using Heterogeneous Hardware II
The project focuses on the cryptanalysis of the Supersingular Isogeny (SSI) path problem, which underlies the isogeny ...
Engineering SciencesComputer Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Engineering SciencesComputer Science
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer Science
Designing Materials With Photo-Induced Phase Transitions
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
Natural SciencesTheoretical Condensed Matter Physics
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Engineering SciencesComputer Science
Development of Methods and Concepts for the Processing of Geodata for Detailed 3D City Models
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
Engineering SciencesComputer 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
First-Principles Calculations of Spectroscopic Signatures II
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Natural SciencesTheoretical Condensed Matter Physics
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
Generation of Training Data for Hardware-Friendly Hash-Width Estimation
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Engineering SciencesComputer Science-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Engineering SciencesComputer Science -
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
Natural SciencesTheoretical Condensed Matter Physics 
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Engineering SciencesComputer Science-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Engineering SciencesComputer 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
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Engineering SciencesComputer Science
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
Engineering SciencesComputer Science
Investigation of Photochemical Pathways to Metal-Nitrene Compounds from Azide Precursors I
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
Natural SciencesPhysical and Theoretical Chemistry
Investigation of Spin Isomers in SnNFe with N = 8-16
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
Natural SciencesPhysical and Theoretical Chemistry
Investigation of the Diastereodivergent Asymmetric Allylic Alkylation of Cyclobutenes
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing and ...
Natural SciencesMolecular Chemistry
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 to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
MD-Simulations to Study the Effect of Electric Fields on the SARS-CoV-2 Postfusion Structure
The interaction between the Spike (S) glycoprotein and the ACE2 receptor on the host cell constitutes the pivotal ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Engineering SciencesComputer Science
