
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 1 - 12 of 12
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 aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
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 ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
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 ...
The formation of pollutants in direct injection engines is a field of research with high practical importance. In front ...
As high-lift configurations, multi-element airfoils have shown satisfactory aerodynamic performance at high Reynolds ...