
University of Rostock
University of Rostock
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102 Projects, page 1 of 21
Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2023Partners:University of RostockUniversity of RostockFunder: European Commission Project Code: 895254Overall Budget: 162,806 EURFunder Contribution: 162,806 EURIn 1998, one of the fundamental assumptions in quantum mechanics, that the Hamiltonian describing a quantum system has to be Hermitian, was overturned. The existence of an entire class of Hamiltonians that are non-Hermitian yet still possess real eigenvalues was discovered. These non-Hermitian Hamiltonians describe PT-symmetric systems, which are systems that are invariant under the combined operations of parity-inversion and time-reversal. Currently, it is still under debate what implications PT-symmetry has for quantum physics. Yet in photonics, PT-symmetry can be readily realized by a proper distribution of gain and loss in the system, making photonics the ideal platform for studying the physics of PT-symmetric systems. Indeed, various effects of PT-symmetry such as non-orthogonal eigenmodes, non-reciprocal evolution of light, and diffusive coherent transport have been demonstrated on a photonic platform, and inspired applications in lasers and optical diodes. So far, these photonic experiments have been purely classical and the full impact of PT-symmetry on the evolution of light is still unclear. Quantum evolution of light in PT-symmetric systems is completely unexplored territory with lots of new physics to be unravelled. Therefore, the objective of this proposal is to for the first time experimentally investigate the evolution of quantum states in non-Hermitian systems. In particular, the project will study the quantum evolution of multiple correlated photons injected in PT-symmetric integrated photonic structures fabricated using direct laser-writing technology. The aim is to investigate how modifying the non-Hermitian Hamiltonian of the system influences photon correlations, expecting to demonstrate novel behaviour and unravel new physics. It is expected to find that quantum correlations fundamentally change: for example, correlated photons that should naturally bunch might anti-bunch, show a mixed bunching-antibunching, or even uncorrelated behaviour.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2011 - 2015Partners:University of RostockUniversity of RostockFunder: European Commission Project Code: 263744All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::a2ba4887058cfe4db66fcb5a3ddf7e31&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2009 - 2012Partners:University of RostockUniversity of RostockFunder: European Commission Project Code: 249266All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::a2f5315ece31a7e4500e5e0f3f1ec8e5&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:University of RostockUniversity of RostockFunder: European Commission Project Code: 101102016Funder Contribution: 189,687 EURIn 2021, drug development pipelines last 10 years in average, and cost around $2 billion, while facing high failure rates, as only around 10% of Phase 0 drug candidates reach the commercialization stage. These issues can be mitigated through drug repurposing, where existent compounds are systematically screened for new therapeutic indications. Collaborative filtering is a semi-supervised learning framework that leverages known drug-disease matchings to make novel recommendations. However, prior works cannot be leveraged because of their lack of focus on human oversight and robustness to biological data. This project aims at bridging the gap between drug research and collaborative filtering by implementing a RECeSS classifier, that is (1) Robust: deals with class imbalance in drug-disease matchings, and missing drug/disease features, by semi-supervised learning; (2) Explainable: connects predicted matchings to perturbed biological pathways through enrichment analyses, based on the learnt importance of features in the model; (3) Controllable: guarantees a bound on the false positive rate using an adaptive learning scheme; (4) Standard: algorithms are trained and tested by a standardized open-source pipeline. Predicted matchings will be independently validated by structure-based methods. This innovative interdisciplinary project relies on a solid basis of newly curated data (up to 1,386 drugs, 1,599 diseases, 12 feature types). It is primarily supervised by Pr. Olaf Wolkenhauer, at SBI Rostock, whose team has an expertise in drug repurposing, in systems biology and data imbalance in machine learning. This project will help the fellow develop new skills, and enhance her professional maturity in academia. In the short term, this would yield the first method that fully integrates biological interpretation and risk assessment to collaborative filtering-based repurposing. Long-term outcomes might help define sustainable and transparent drug development for rare diseases.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2025 - 2030Partners:University of RostockUniversity of RostockFunder: European Commission Project Code: 101171289Overall Budget: 1,998,110 EURFunder Contribution: 1,998,110 EURPressures above 1 Mbar, equivalent to energy densities stored in chemical bonds, are predicted to severely reshape the periodic table of the elements as we know it. Such extreme conditions can radically alter the electronic structure and chemical properties of materials, especially when heating these to temperatures of several thousand kelvins, which suggests new approaches for the synthesis of so-far unknown material structures and compounds. However, due to a lack of predictive modelling and experimental challenges, exploration and exploitation of new chemistry above one megabar has remained a dark spot in our understanding of matter. Unprecedented experimental capabilities provided by large-scale laser facilities and X-ray free electron lasers, also supported by new theoretical and computational tools, now drastically change this situation and I am at the forefront of these revolutionary developments. With MEGACHEM, I will establish the research direction of dynamic megabar chemistry, motivated by my pioneering studies on light elements mixtures. Performing exploratory experiments in close interplay with theory, I will investigate novel routes to two interlinked “holy grail” cases: a) the synthesis of the long sought but still speculative BC-8 structure of carbon and b) a new approach to an efficient formation of ultrasmall nanodiamonds of tailored size and dopant level. Indeed, for reaching both goals, the pressure-driven insulator-metal transition of liquid hydrogen may play a central role. By investigating these cases, MEGACHEM will cover new ground and test state-of-the-art theoretical models by combining studies at my university labs with experiments at large-scale research infrastructures: hard X-ray free electron lasers such as the European XFEL, and the largest optical laser systems, such as the National Ignition Facility and the Extreme Light Infrastructure. By doing so, MEGACHEM can impact various areas, ranging from astrophysics to photocatalysis.
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