
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 91 - 120 of 150
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
Magnetic interactions in transition metal complexes arise from coupling of unpaired electrons, usually localized ...
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 ...
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 ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Entanglements between polymer chains are demonstrated as one of the key factors to modulate the macroscopic physical ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
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 ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Alkali metal-oxygen batteries have a particularly high energy density and therefore concepts for rechargeable batteries ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
Smart polymers respond to environmental factors such as change in temperature, pH, or solvent. An example is the ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
It is well-known that the irradiation of aromatic azides, including phenyl azide, in solution and at cryogenic ...
Semiconductors are the fundament of modern technology and as such still a topic of current research. With decrease in ...
The influence of osmolytes, like Trimethylamine-N-oxide (TMAO) and urea, on protein folding is well studied, yet the ...
Due to an ever-increasing energy demand worldwide, new and efficient energy storage systems are needed more and more ...
Sulfur-containing compounds present in the earth’s atmosphere impact cloud formation and thus our climate. The main ...
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...