The Universitat Jaume I has joined the national STEAM Alliance for Female Talent, promoted by Spain’s Ministry of Education to encourage girls and young women to pursue studies in science, technology, engineering, the arts and mathematics, and to help close the gender gap in these fields. Membership requires submitting a project that promotes STEAM careers among girls and adolescents and passing a rigorous evaluation process.

The university’s application included three initiatives: "Sucre", which introduces computational thinking and programming in primary and secondary schools; "Ingeniera… ¿por qué no?", which raises awareness and provides resources to increase the presence of women in technical degrees; and "Connecta amb la ciència", a programme offering hands-on workshops and talks to secondary school students led by researchers from the university’s science and technology areas.

Researchers have fully mapped how noise spreads through quantum computers over time to show that glitches link together across different moments, creating a form of 'memory' that undermines calculations.

For the first time worldwide, we have achieved remote, real-time control of fusion plasma using a digital twin running on a supercomputer located about 1,000 km away (round-trip network path ~2,000 km).

In magnetic confinement fusion power, sustaining and precisely controlling plasma at temperatures exceeding 100 million ℃ over long durations is essential. Yet “predicting-while-controlling” has been challenging due to model accuracy limits, computation speed, and unresolved physics. Our team has developed a system that applies data assimilation, continuously updating the predictive model with real-time measurements to improve accuracy and using accelerated parallel prediction to determine optimal unrehearsed control actions.

A research team from Kyoto University, the National Institute for Fusion Science (NIFS), the National Institutes for Quantum Science and Technology (QST), and the Institute of Statistical Mathematics (ISM), has connected the Large Helical Device (LHD) in Toki, Gifu, Japan to the new “Plasma Simulator” supercomputer in Rokkasho, Aomori, jointly procured by NIFS and QST, via the high-quality, high-bandwidth academic network SINET6. By exclusively using more than 20,000 Central Processing Unit (CPU) cores and minimizing communication latency, the team has realized real-time predictive control of LHD from a remote supercomputer. This approach — linking a large experimental facility and a large computing system over a ~2,000 km network loop — can serve as a foundation for real-time control beyond fusion.