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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
Programming environments for today’s supercomputers must support the design of efficient programs and handle issues such ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...