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Talk: Plenary Abstract: The ability to predict the behaviour of multiphase flows accurately, reliably, and efficiently addresses a major challenge of global economic, scientific, and societal importance. These flows are central to micro-fluidics, virtually every processing and manufacturing technology, oil-and-gas, nuclear, and biomedical applications. Although significant advances have been made in the numerical procedures to simulate multiphase flows, there remains a large gap between what is achievable, and ‘real-life’ systems. As a result, empirical correlations remain widely used in order to bridge this gap. We will present the latest on the modelling framework that we are currently developing as part of the Multi-scale Examination of MultiPHase physIcs in flowS (MEMPHIS) programme in order to minimise the use of correlations and shift towards the use of numerical simulations as a truly predictive tool that can be used as a sound basis for design. The framework features model-driven experimentation (which we will not discuss here), massively-parallelisable interface-capturing methods, 3D, adaptive, unstructured meshes, and sophisticated multi-scale, multi-physics models. Support from the Engineering & Physical Sciences Research Council, UK (grant no. EP/K003976/1) is gratefully acknowledged.