
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 338
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing and ...
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
The interaction between the Spike (S) glycoprotein and the ACE2 receptor on the host cell constitutes the pivotal ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
The structure of nuclei gives fundamental insight into strong interactions between nucleons, beyond-standard-model ...
For transition metal doped clusters, the transition metal and the host element play a fundamental role in the physical ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
Coarse-grained molecular dynamics (MD) simulation provides a faster alternative to all-atom MD simulation, essential for ...
A recent ultrafast electron diffraction experiment led by our collaborator has showed an interesting response of a thin ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
In a hydrogen fuel cell, that consists of an anode and a cathode, oxidation and reduction reactions occur simultaneously ...
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Understanding the pathophysiology of lung fibrosis is of paramount importance to elaborate targeted and effective ...
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...