Zobrazeno 1 - 10
of 3 226
pro vyhledávání: '"Elstner, A."'
Organic semiconductors (OSCs) have received much attention as promising materials for electronic devices. In this study, we investigate the impact of halogen groups on the charge transport properties of n-type OSC-6,13 bis ((triisopropylsilyl) ethyny
Externí odkaz:
http://arxiv.org/abs/2405.16937
Publikováno v:
Spa. Sci. Rev. 219, 55 (2023)
Mean-field dynamo theory has important applications in solar physics and galactic magnetism. We discuss some of the many turbulence effects relevant to the generation of large-scale magnetic fields in the solar convection zone. The mean-field descrip
Externí odkaz:
http://arxiv.org/abs/2303.12425
When it comes to the optimization of CAD models in the automation domain, neural networks currently play only a minor role. Optimizing abstract features such as automation capability is challenging, since they can be very difficult to simulate, are t
Externí odkaz:
http://arxiv.org/abs/2303.12739
A mean-field theory of the electrodynamics of a turbulent fluid is formulated under the assumption that the molecular electric conductivity is correlated with the turbulent velocity fluctuation in the (radial) direction, $\mathbf{g}$. It is shown tha
Externí odkaz:
http://arxiv.org/abs/2301.04509
Autor:
Elstner N
Publikováno v:
Revista Methodo, Vol 9 (2024)
Una vez más nos encontramos la familia veterinaria en las 41 jornadas de capacitación del colegio médico veterinario de Córdoba, esta vez en el Hotel de los empleados del Banco Provincia de Buenos aires en la localidad serrana de Tanti. Contamos
Externí odkaz:
https://doaj.org/article/0ddecc2e604445a89c19bf0fc88e229f
Autor:
Dohmen, Philipp M., Krämer, Mila, Reiser, Patrick, Friederich, Pascal, Elstner, Marcus, Xie, Weiwei
The trajectory surface hopping method has been widely used in the simulation of charge transport in organic semiconductors. In the present study, we employ the machine learning (ML) based Hamiltonian to simulate the charge transport in anthracene and
Externí odkaz:
http://arxiv.org/abs/2203.03083
In the domain of computer vision, deep residual neural networks like EfficientNet have set new standards in terms of robustness and accuracy. One key problem underlying the training of deep neural networks is the immanent lack of a sufficient amount
Externí odkaz:
http://arxiv.org/abs/2202.10099
Autor:
Schönhof, Raoul, Werner, Artem, Elstner, Jannes, Zopcsak, Boldizsar, Awad, Ramez, Huber, Marco
Publikováno v:
2021, Procedia CIRP 100(7):331-336
Not only automation of manufacturing processes but also automation of automation procedures itself become increasingly relevant to automation research. In this context, automated capability assessment, mainly leveraged by deep learning systems driven
Externí odkaz:
http://arxiv.org/abs/2201.12107
Autor:
Marcel Reshamvala, Kathrin Rauh, Philipp Kießlich, Isabell Ayvaz, Julian Länge, Michael Elstner, Daniel Pfanner, Miriam Schuster
Publikováno v:
Challenging Glass Conference Proceedings, Vol 9 (2024)
Glass is an energy intensive material that is essential to buildings and their energy consumption. Its transparency allows for natural daylighting and the use of solar heat gains. In the context of the refurbishment politics of the EU as a result of
Externí odkaz:
https://doaj.org/article/8db8cc8435a9473ca9a9a1d8e2c863f0
Publikováno v:
Challenging Glass Conference Proceedings, Vol 9 (2024)
Increasing the circularity of flat glass does not only mean to collect glass cullet from internal and pre- consumer processes. It also means to use glass cullet from the post- consumer applications, such as residential or commercial buildings. The fl
Externí odkaz:
https://doaj.org/article/2c0a35e9efe743bba6b9c57fd8e22dfa