
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 301 - 330 of 562
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
The modification of intrinsic properties of graphene via defects, such as grain boundaries, has been an intense field of ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
The demand of minimization and feasibility of integration makes two-dimensional (2D) materials remarkable in promising ...
Like perovskite materials, antiperovskites (APVs) display many intriguing physical properties. Particularly, the ...
In this work, we performed first-principles calculations to evaluate the anomalous Hall conductivity as well as the ...
Entanglements between polymer chains are demonstrated as one of the key factors to modulate the macroscopic physical ...
Lighting, both natural and artificial, has become a part of our daily lives that have been taken for granted in modern ...
In Cu(In,Ga)(S,Se)2 (CIGS) thin-film solar cells, Ga gradient forms readily during the CIGS growth resulting to a high ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
The goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on the ...
The mechanisms of laser-matter interaction are of great importance for many applications including the development of ...
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
Co-simulation methods may be used advantageously for analysing complex problems, for example the simulation of systems ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
The solid-solid interface is a critical obstacle to limit the performance of all-solid-state lithium-ion thin film ...
NASICON, short for Na+ Superionic Conductor, is a group of materials with the composition Na1+xZr2SixP3-xO12 with 0 < x ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
In need for alternatives to conventional cooling devices, the magnetocaloric effect (MCE) is one of the most promising ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
Spray cooling is a promising technology to remove heat from a hot target. To contribute to a better understanding of the ...
The exhaust gas system is a very important part of internal combustion engines, since its structure and thermodynamic ...
Soot is an undesired particulate pollutant generated from an incomplete combustion of hydrocarbons. Due to its ...
In order to obtain high efficiencies in modern jet engines, turbine inlet temperatures substantially exceed thermal ...
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
The electromechanical coupling properties of ferroelectric materials are widely studied and used to design macro and ...
After the matrix isolation of aminomethylene (H-C̈-NH2)[1] we study further the formation of amino acids and sugars in ...
The formation of pollutants in direct injection engines is a field of research with high practical importance. In front ...