
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 211 - 240 of 368
We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...
Employment of treatments other than heat or pressure control distinguishes the unconventional sintering from the ...
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
To combat climate change effectively, the use of renewable energy must increase. However, the supply of renewable energy ...
Aerodynamic sound contributes significantly to the noise emission of high-speed applications such as trains, aircraft ...
The formation of pollutants in direct injection engines is a field of research with high practical impact. Against this ...
3D computational fluid dynamics (CFD) simulations are nowadays an established method in science and a tool in industrial ...
Among the major sources of energy supply, pulverized coal combustion (PCC) will remain one most dominant contributors in ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
The field of spintronics recently gained much interest because it promises faster, smaller and less energy consuming ...
Femtosecond laser pulses excite the electrons of matter to a high temperature whereas the ions remain mainly unaffected ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
The interactions of ultrashort-light pulses with solids and nanostructures is a continuously growing area due to 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 ...
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 ...