The present study describes the thermodynamic assessment of three pseudo-binary systems relevant to CsI solubility in molten iodide salts: KI-CsI, NaI-CsI, and NaF-CsI. The motivation for this study was to corroborate a single previously reported data set of the NaI-CsI system, resolve inconsistencies reported by two different data-sets of the KI-CsI system, and generate new experimental data on the NaF-CsI system. Equilibrium data for all systems were obtained using Differential Scanning Calorimetry. Thermodynamic treatments of the three pseudo-binary systems were revised using the CALPHAD method with the thermodynamic software FactSage and Thermochimica. Both experimental and computational investigations provide increased confidence in the thermochemical behaviour of CsI in Molten Salt Reactor nuclear systems.

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Complex cycling workflows are fundamental to numerical weather prediction (NWP) and related environmental forecasting systems. Large numbers of jobs are executed at regular intervals to process new data and generate new forecasts. Dependence between these forecast cycles creates a single never-ending workflow, but NWP workflow schedulers have traditionally ignored this-at the cost of efficiency when running “off the clock”-by enforcing a simpler nonoverlapping sequence of single-cycle workflows. Cylc (“Silk”)1 -3 is designed to manage infinite cycling workflows efficiently even after delays in real-time operation, or in historical runs, when cycles can typically interleave for much-increased throughput. Cylc is not actually specialized to environmental forecasting, however, and cycling workflows may also be useful in other contexts. In this paper, we describe the origins and major features of Cylc, future plans for the project, and our experience of Open Source development and community engagement.@en