
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 271 - 300 of 438
The photoelectron spectroscopy data of organic molecules, in our case organic semiconductors, are mainly dominated by ...
Ceria is an important support material for precious metals to catalyze oxidation reactions such as CO oxidation or the ...
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Thin films of lead zirconate-titanate (PZT) belong to the most widely used ferroelectric materials. They possess large ...
Dielectric capacitors are considered to be promising candidates for energy storage applications in high power ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Many technical applications in chemistry engineering are multiphase flows as they contain entrained air or effects such ...
Recent numerical stabilization approaches provide new opportunities for viscoelastic flow simulations. The numerical ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
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 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 ...
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
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 ...