This first of its kind open research publishing platform dedicated to ‘Digital Twin’ is now open for submissions.
Digital Twin is a rapid multidisciplinary open access publishing platform for researchers, practitioners and experts to publish state-of-the-art basic, scientific and applied research on digital twin technologies. Since digital twin encompasses many disciplines across STM, Beihang University partnered with open research publisher F1000, Taylor & Francis Group’s open research publishing arm, to create a global hub to accommodate new research outputs on digital twin.
Digital twin refers to a complex virtual model that constitutes the exact counterpart (or twin) of a physical thing. In principle, the ‘thing’ could be instantiated as any object in the physical world such as a car, a tunnel, a bridge, or even a jet engine. Data obtained from the physical ‘thing’ by means of advanced sensors can be fed back to the virtual model. Through immersive cyber-physical integration, digital twin makes visible the crucial information about the states, behaviours, and health of the physical ‘thing’ in the real world.
The Digital Twin platform covers all areas related to digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others.
The platform enables all research outputs to be published open access, which means they are available for anyone to read. The published research will also follow F1000’s open science practices, such as open peer review, to assure quality and transparency.
Digital Twin offers researchers an open and transparent peer review process and has a mandatory FAIR data policy to provide full and easy access to the source data underlying the results. It covers digital twin research spanning many fields of research and offers a variety of article types, from traditional research articles to study protocols, registered reports, data notes, case studies and much more.
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