Digital Twins in Large-Scale Scientific Infrastructure Projects


  • Denis V. Kosyakov Russian Research Institute of Economics, Politics and Law in Science and Technology, Moscow, Russian Federation; Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation
  • Mikhail A. Marchenko Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russian Federation



digital twins, neural networks, supercomputing modelling, large-scale scientific infrastructure, Siberian Circular Photon Source


The article provides an overview of publications on the topic of Digital Twins of largescale scientific infrastructure. History, basic concepts and definition of Digital Twins are given. Main terminology in the field of big science and large-scale scientific infrastructure is also described. In Russian practice, the large-scale scientific infrastructure projects are often referred to as "megascience installations". Such installations usually include facilities for research in areas such as astronomy and high-energy physics. The research infrastructure is a complex of construction facilities, engineering systems, precise control and measuring equipment, characterized by high complexity and strict requirements for all operational parameters. In addition, these facilities are associated with high operating costs, are sensitive to minor changes in their condition and environmental conditions, and carry the risk of data loss during long-term and unique experiments. Then, information about the use of Digital Twins in large scale astrophysical projects and also for particle accelerators control and tuning is provided. Potential areas of application of Digital Twins in large projects of scientific infrastructure are summarized. Necessary information about the Siberian Circular Photon Source (SKIF, in Russian) is given. On the basis of the review, and goals and objectives for the Digital Twin of the SKIF are determined. An analysis of the necessary computing resources and data storage volume is also carried out.


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How to Cite

Kosyakov, D. V., & Marchenko, M. A. (2024). Digital Twins in Large-Scale Scientific Infrastructure Projects. Supercomputing Frontiers and Innovations, 10(3), 88–106.