
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 115
Ammonia borane (NH3BH3) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...
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 computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
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 ...
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 ...
After the matrix isolation of aminomethylene (H-C̈-NH2)[1] we study further the formation of amino acids and sugars in ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Novel methods to access complex molecular structures open new avenues for applications in medicalas well as material ...
Novel methods to access complex molecular structures open new avenues for applications in medical as well as material ...
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
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 ...
Alkanes are attractive feedstock chemicals due to their natural occurrence and they offer access to a wide variety of ...
Carbohydrates “(CH2O)n” or sugars are the formal adducts of carbon (atoms) to water with a repeating unit that ...
Gadolinium-doped tin clusters belong to an interesting class of nanoalloys. They combine the quasi-aromatically ...
Our research focuses on the activation of stable bonds/small molecules. This is traditionally accomplished by transition ...
Azobenzenes (AB) are promising candidates for molecular solar thermal energy storage (MOST) systems. After synthesizing ...
Curved aromatic molecules are unique compounds as they combine special properties due to the delocalized π-system, with ...
Our investigation aimed at determining the photo-physical properties of an ammonium tagged azobenzene 1 in comparison to ...
We have recently reported the synthesis of a pyridonate borane complex that reversibly activates dihydrogen under mild ...
While quantum-mechanical tunneling (QMT) was recognized early in the emerging field of quantum theory as an accelerating ...