CORonal mass ejection, solar eNERgetic particle and flare forecaSTing from phOtospheric sigNaturEs
The CORNERSTONE project was represented at the United Nations/Costa Rica Workshop on Machine Learning Applied to Space Weather and Global Navigation Satellite Systems, held in San José, Costa Rica, from…
A new CORNERSTONE’s recent work explores how physics-driven feature design can make solar flare forecasting not only accurate but also physically meaningful. Physics-Informed Learning: Embedding Physical Consistency in AI In…
Bringing CORNERSTONE Research to the International Stage We’re proud to share that Dr. Simone Chierichini presented CORNERSTONE’s cutting-edge research at the European Space Weather Week (ESWW) 2025 in Umeå, Sweden…
Systematic Science: Understanding What Works and Why A major accomplishment from CORNERSTONE: comprehensive ablation studies that reveal exactly how different design choices affect our ability to predict solar flares. This…
Building on a Strong Foundation Exciting progress from the CORNERSTONE team! Dr. Simone Chierichini has developed a complete machine learning pipeline that transforms the carefully curated dataset prepared by Dr.…
Solar flares and associated SEPs and CMEs convert free magnetic energy available on the Solar atmosphere into heat, nonthermal particle acceleration, electromagnetic radiation, plasma waves and bulk particle flows. Solar…