Fraunhofer-Publica
The Fraunhofer-Publica has been successfully documenting the research results of the Fraunhofer-Gesellschaft for over 30 years. The platform enables the collaborative linking of research-relevant objects and disseminates within the international scientific community.
The Fraunhofer-Publica thus fulfils its responsibility to promote the transfer of knowledge and know-how to industry and society.
Categories
Research outputs
As an application-oriented research organisation, Fraunhofer aims to conduct highly innovative and solution-oriented research - for the benefit of society and to strengthen the German and European economy.
Projects
Fraunhofer is tackling the current challenges facing industry head on. By pooling their expertise and involving industrial partners at an early stage, the Fraunhofer Institutes involved in the projects aim to turn original scientific ideas into marketable products as quickly as possible.
Researchers
Scientific achievement and practical relevance are not opposites - at Fraunhofer they are mutually dependent. Thanks to the close organisational links between Fraunhofer Institutes and universities, science at Fraunhofer is conducted at an internationally first-class level.
Institutes
The Fraunhofer-Gesellschaft is the leading organisation for applied research in Europe. Institutes and research facilities work under its umbrella at various locations throughout Germany.
Recent Additions
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PublicationDeveloping climate change adaptation measures for urban planning in the city of Munich (Germany) using the urban climate model PALM-4U( 2024-03)The changing climate will effect urban areas strongly, potentially increasing length and strength of phenomena like urban heat islands. To counteract those effects muliple adaptations measures are avalible, leading to the question: Which methodes to use for which areas when? Whitin the UCARe4Citizen project architects planned different climate adaptation measures. Measures were simulated with the urban climate model PALM-4U and results were compared to the current state in the area. Then the most succsessful measures were combined to be used in a final simulation. This paper shows an approach to develop climate adaptation measures with PALM-4U in a cooperation between architects and urban climatologists.
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Urban Climate in Augmented Reality for Citizens ParticipationResearch Project -
PublicationFit für Virtual Reality( 2024)Weniger Aufwand und weniger Kosten: Mit Virtual Reality lassen sich der Umgang mit Katastrophen und die Gefahrenabwehr trainieren. Für Kommunen beinhaltet das neue Möglichkeiten für Übungsevalutationen und Wissens vermittlung - auch auf diesen Digitalbereich kann ein Studium vorbereiten.
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PublicationA smallest computable entanglement monotone( 2022)The Rains relative entropy of a bipartite quantum state is the tightest known upper bound on its distillable entanglement - which has a crisp physical interpretation of entanglement as a resource - and it is efficiently computable by convex programming. It has not been known to be a selective entanglement monotone in its own right. In this work, we strengthen the interpretation of the Rains relative entropy by showing that it is monotone under the action of selective operations that completely preserve the positivity of the partial transpose, reasonably quantifying entanglement. That is, we prove that Rains relative entropy of an ensemble generated by such an operation does not exceed the Rains relative entropy of the initial state in expectation, giving rise to the smallest, most conservative known computable selective entanglement monotone. Additionally, we show that this is true not only for the original Rains relative entropy, but also for Rains relative entropies derived from various Rényi relative entropies. As an application of these findings, we prove, in both the non-asymptotic and asymptotic settings, that the probabilistic approximate distillable entanglement of a state is bounded from above by various Rains relative entropies.Full version available at https://arxiv.org/abs/2201.00835
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