
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 139
The interactions of ultrashort-light pulses with solids and nanostructures is a continuously growing area due to the ...
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 ...
The modification of intrinsic properties of graphene via defects, such as grain boundaries, has been an intense field of ...
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 ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
The mechanisms of laser-matter interaction are of great importance for many applications including the development of ...
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 ...
The understanding of the interaction of ultrashort light pulses with solids and nanostructures is important for both ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
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 ...
The accurate many-particle description of systems exhibiting strong electronic correlations is one of the most ...
Ideal one-dimensional electronic systems are characterized by unusual and fascinating physical phenomena, including ...
Comparing to traditional electronics, spintronics makes use of both charge and spin freedoms of electrons, which is ...
Permanent magnets are an important component in a wide range of everyday devices. Present high performance magnets like ...
Analogous to perovskites, the antiperovskites (APVs) are also one of the most commonly explored materials in recent ...
This work is a successor of our previous study [1], were the mechanism of periodic nanostructuring process due to UV ...
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) ...