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Machine learning is becoming a familiar tool in all aspects of physics research: in experiments from experimental design and optimization, to data acquisition and analysis; in numerical simulation and even in theory.
In this collection we explore the rapid development of multi-messenger astrophysics, an inter-disciplinary field that expands our understanding of the most violent astrophysical processes and reshapes the way science is done in terms of big collaborations, instruments and data.
In this Focus issue we look back at the first decade of X-ray free-electron lasers (XFELs). In a series of six Comment pieces, leading scientists discuss the challenges in making XFEL science routine and outline the opportunities that lie ahead.