IPFN researcher leads AI and Machine Learning project
IPFN continues to strengthen its leadership position in nuclear fusion research, with researcher José Vicente leading one of EUROfusion's 15 new research projects. This project focuses on applying Artificial Intelligence (AI) and Machine Learning to enhance plasma control in fusion reactors.
By launching 15 new research projects, EUROfusion is engaging data science experts across Europe to apply Artificial Intelligence and Machine Learning techniques to fusion energy. These projects will leverage the world's largest and most diverse dataset of fusion experiments to identify optimal methods for understanding and controlling the fusion process, ultimately shortening the road to energy applications.
José Vicente's project focuses on improving the reconstruction of signals from measuring instruments, using deep learning techniques to optimise the control of plasma. According to him, “this is important because it will allow better and automatic control of the fusion plasma that needs to be efficiently confined in those devices and in future fusion reactors”.
The project is already generating promising results, with expectations of making a significant contribution to the development of fusion reactors, including ITER, the world's largest fusion experiment. This reactor will be essential for testing the viability of fusion as a sustainable source of energy, and the advances of this project could help solve one of the biggest challenges: effective plasma control in extreme conditions.
