Avances en fusión nuclear y el papel de la inteligencia artificial a través de STRANAI

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:AI methods for fusion plasma control and diagnostics offer a case study in applying machine learning to complex physical systems.

🏛政策担当者:Fusion's long horizon means limited near-term policy impact, but AI integration may accelerate timelines.

Nuclear fusion represents a promising energy alternative, capable of producing clean, abundant, and reliable energy with lower environmental impacts than fossil fuels. However, the practical implementation of this technology faces significant challenges, including maintaining elevated temperatures and pressures, plasma stability, energy efficiency, and material durability. The STRANAI Strategic Network integrates artificial intelligence across multiple research lines to address these challenges, including automatic detection of physical events through images and videos, automation of turbulence analysis, development of explainable and physics-based artificial intelligence models, creation of multi-machine repositories, and the design of predictive disruption models and plasma control strategies. This interdisciplinary approach optimizes the safety, efficiency, and reliability of future fusion reactors and accelerates the transition toward commercial fusion power plants. This article reviews recent advances in nuclear fusion, existing reactor types, and the technological challenges addressed through artificial intelligence applications.

• openalex https://doi.org/10.5377/pc.v1i21.23099first seen 2026-07-23 05:00:09