Jan Hasenauer

QUANTUM SQUEEZING IN ADVANCED GRAVITATIONAL WAVE DETECTORS

Publisher: World Scientific Pub Co Pte Lt

Date: 09-2011

DOI: 10.1142/S0218271811020159

Abstract: Second generation ground-based gravitational wave detectors, scheduled to be operating by the middle of this decade, will be limited in sensitivity over much of their detection range by optical quantum noise. As they will be operating at power levels close to the tolerance of the optical components, significant further improvement in sensitivity will require the use of quantum optical techniques such as the injection of squeezed states. In this paper we briefly review squeezing and plans for its implementation into advanced gravitational wave detectors.

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Publisher: Oxford University Press (OUP)

Date: 07-05-2022

DOI: 10.1093/NAR/GKAC331

Abstract: Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For ex le, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations.

COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms

Publisher: EMBO

Date: 10-2021

DOI: 10.15252/MSB.202110387

Universität Stuttgart

Location: Germany

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Technische Universität München

Location: Germany

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Rheinische Friedrich-Wilhelms-Universität Bonn

Location: Germany

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Helmholtz Zentrum München Deutsches Forschungszentrum Für Umwelt Und Gesundheit

Location: Germany

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ARC Centres Of Excellence - Grant ID: CE230100001

Start Date: 2023

End Date: 12-2029

Amount: $35,000,000.00

Funder: Australian Research Council