This project aims to establish a close research collaboration between several leading European and South American research institutes specialized in solar physics and to gain new paradigmatic insights into the dynamic processes in the solar atmosphere, through a systematic exchange of researchers and knowledge and joint research efforts using existing data and facilities, including innovative data analysis techniques based on machine learning approaches. The expected scientific impact is a significant advancement in our knowledge of key physical processes occurring in the solar atmosphere, including breakthroughs in unraveling the mechanism of coronal heating, transformational advances in our understanding of impulsive energies such as solar flares and CMEs, significant advances in MHD wave theory, and the first application of machine learning techniques to the study of wave processes in the solar atmosphere.

The project includes four scientific work packages that address specific key challenges in modern solar physics and heliophysics: quasi-periodic pulsations in solar flares, wave heating and coupling to the lower atmosphere, the development of three-dimensional CME morphology, kinematic oscillations of coronal mass exclusion, and a work package for communication and dissemination. Expected economic and technological impacts include gaining direct experience in the analysis of complex oscillatory processes, experience in the design and application of machine learning techniques for pattern recognition, new technologies for the analysis of oscillatory processes, and input parameter diagnostic techniques for space weather prediction models, the establishment of facilities for knowledge exchange with foreign partners with local industries, and the training of highly skilled professionals in numerical modeling and data analysis. The expected societal impact is to strengthen research links between the European and US research communities, to improve public awareness of modern solar and heliophysics research and development issues, and to motivate school students to pursue scientific careers.