Open Access

The Cologne Research Centre for Reinsurance analyses the latest developments in the reinsurance market and, where appropriate, monitors these through research projects. In the process, the Research Centre for Reinsurance links its research activities with practices in the reinsurance sector. The year 2020 was dominated by the global COVID-19 pandemic. There were numerous substantial challenges that arose not just in general but also for the (re-)insurance industry in particular. Naturally, interaction and practical, bidirectional knowledge transfer at the Cologne Research Centre for Reinsurance was also hard-hit by the many event cancellations and their makeshift relocation to online formats. We particularly regretted the cancellation of the 17th Cologne Reinsurance Symposium. The 13th Annual Meeting of the Sponsoring Group Reinsurance was quite a success in the chosen online format – but of course we would like to return to the traditional event format at Clostermannshof as soon as possible. A complete success, on the other hand, with 178 participants, was the webinar series hosted by the Research Centre for Reinsurance on the European Insurance and Occupational Pensions Authority (EIOPA) initiative on risk mitigation techniques that could alter the effects of reinsurance under Solvency II. There are twelve people currently employed at the Cologne Research Centre for Reinsurance. All of the personnel, material and travel costs for the Research Centre for Reinsurance are fully financed by third-party funds provided by the Sponsoring Group Reinsurance. The special circumstances were scarcely an impediment to the research, communication and cooperation among the employees of the Research Centre for Reinsurance. As most employees do not live and work in Cologne, anyway, working from home and online had been the rule for them even before the coronavirus crisis hit. The transition to a setting working from home was (nearly) a smooth one for the other employees as well. As every year, we would like to express our appreciation to the Sponsoring Group Reinsurance, the University leadership and administration, and the Institute of Insurance Studies for their support of our research work.

An approach to solve combinatorial optimization problems on a D-Wave Quantum Annealer while using a self-developed software framework.

More and more often, spoken information must and should be available in written form. For this purpose, various transcription programs try to support the user with various conveniences when transcribing the source material. A variety of online services go one step further and provide a ready-to-use, automatically generated transcription for a fee. Since the fees can be very expensive for the individual user and the online services may not always be used for privacy reasons, the goal of this work is to implement an open offline alternative. This alternative should be an open source editor based on the open speech-to-text-engine DeepSpeech and should on one hand provide the user with an offline transcription and on the other hand support him in correcting it. To achieve this goal, first the traditional speech recognition and eventually DeepSpeech will be described. This is followed by the conception and implementation of the editor. Since this project is explicitly intended to be an open source project, the last part will take a closer look at the release.

The use of nematic liquid crystal (LC) mixtures for microwave frequency applicationspresents a fundamental drawback: many of these mixtures have not been properly characterizedat these frequencies, and researchers do not have an a priori clear idea of which behavior they canexpect. This work is focused on developing a new procedure for the extraction of the main parametersof a nematic liquid crystal: dielectric permittivity and loss tangent at 11 GHz under differentpolarization voltages; splay elastic constantK11, which allows calculation of the threshold voltage(Vth); and rotational viscosityγ11, which allows calculating the response time of any arbitrary device.These properties will be calculated by using a resonator-based method, which is implementedwith a new topology of substrate integrated transmission line. The LC molecules should be rotated(polarized) by applying an electric field in order to extract the characteristic parameters; thus,the transmission line needs to have two conductors and low electric losses in order to preserve theintegrity of the measurements. This method was applied to a well-known liquid crystal mixture(GT3-23002 from MERCK) obtaining the permittivity and loss tangent versus bias voltage curves,the splay elastic constant, and the rotational viscosity of the mixture. The results validate the viabilityof the proposed method.

Hydrogen is nowadays in focus as an energy carrier that is locally emission free. Especiallyin combination with fuel-cells, hydrogen offers the possibility of a CO2neutral mobility, providedthat the hydrogen is produced with renewable energy. Structural parts of automotive componentsare often made of steel, but unfortunately they may show degradation of the mechanical propertieswhen in contact with hydrogen. Under certain service conditions, hydrogen uptake into the appliedmaterial can occur. To ensure a safe operation of automotive components, it is therefore necessary toinvestigate the time, temperature and pressure dependent hydrogen uptake of certain steels, e.g., todeduct suitable testing concepts that also consider a long term service application. To investigate thematerial dependent hydrogen uptake, a tubular autoclave was set-up. The underlying paper describesthe set-up of this autoclave that can be pressurised up to 20 MPa at room temperature and can beheated up to a temperature of 250◦C, due to an externally applied heating sleeve. The second focusof the paper is the investigation of the pressure dependent hydrogen solubility of the martensiticstainless steel 1.4418. The autoclave offers a very fast insertion and exertion of samples and thereforehas significant advantages compared to commonly larger autoclaves. Results of hydrogen chargingexperiments are presented, that were conducted on the Nickel-martensitic stainless steel 1.4418.Cylindrical samples 3 mm in diameter and 10 mm in length were hydrogen charged within theautoclave and subsequently measured using thermal desorption spectroscopy (TDS). The resultsshow how hydrogen sorption curves can be effectively collected to investigate its dependence ontime, temperature and hydrogen pressure, thus enabling, e.g., the deduction of hydrogen diffusioncoefficients and hydrogen pre-charging concepts for material testing.