
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 31 - 60 of 90
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
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 ...
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
The compound semiconductor system Cu(In, Ga)(S, Se)2 (short: CIGS) forms the basis for the currently most efficient thin ...
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
The current project aims to reveal the relevant intrinsic mechanisms responsible for the coupling of the lattice and ...
Layered transition metal oxides are employed as cathode materials in high-voltage, rechargeable lithium ion batteries ...
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
Ideal one-dimensional (1D) electronic systems are fascinating, as they show quantisation of conductance, charge-density ...
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...