Objective of FJOH-2023

The main objective of the FJOH‐2023 edition is to help the school participants broaden their knowledge of the scientific and technical aspects underpinning nuclear digital twins. The lectures will lay emphasis on the required modelling and simulation (M&S) techniques, including the information and data flows between the physical system and its digital representation.

The FJOH‐2023 participants will learn about:

  • The incentives for developing digital twins for nuclear applications;
  • General data and information management methods and digital twin‐enabling technologies for uncertainty estimation and propagation, data‐informed surrogate modelling, machine learning and data assimilation, in connection with high‐performance computing resources;
  • High‐fidelity M&S models integrated in digital twins, for the purpose of fuel developments, core physics simulations, system thermo‐hydraulics studies;
  • The regulatory implications of digital twin‐based approaches for optimised nuclear design and licensing.

By the end of the course, the participants should be able to explain why and how digital twins are expected to take a growing importance in nuclear applications, also discuss some of the corresponding challenges and gaps.

FJOH‐2023 includes plenary lectures, group discussions, seminars, and technical visits. The invited speakers are internationally recognized experts from leading universities, research and development laboratories and industry.

The FJOH‐2023 participants will have the opportunity, as part of group activities, to practice their freshly‐acquired knowledge and to reflect upon open‐ended questions in group activities. Time for these group activities is set aside in the School schedule.