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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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The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
Voltage-dependent K+ channels are facilitators of a diverse set of physiological processes, including neuronal signaling ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
As facilitators of ionic currents across biological membranes, voltage-dependent K+ channels are involved in a broad ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Protein stability in the complex solution environment of the living cell depends on several environmental factors ...
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
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 influence of osmolytes, like Trimethylamine-N-oxide (TMAO) and urea, on protein folding is well studied, yet the ...
Sortase A7M is an enzyme, which catalyzes the linking reaction of the N-terminal and the Cterminal region of two ...