CORonal mass ejection, solar eNERgetic particle and flare forecaSTing from phOtospheric sigNaturEs
After two years of intensive research, the CORNERSTONE project (PRIN 2022 PNRR, code P2022RKXH9) has officially reached its conclusion. What began as an ambitious effort to bring physics-informed machine learning…
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…
Selection Results Announcement We are delighted to announce that Dott. Simone Chierichini has been selected as the recipient of the research fellowship within the CORNERSTONE project. Following the public selection…
CORNERSTONE Project – Call for Applications We are pleased to announce the opening of a research fellowship position within the CORNERSTONE project: “CORonal mass ejection, solar eNERgetic particle and flare…
Selection Results Announcement We are delighted to announce that Dott. Stefano Scardigli has been selected as the recipient of the research fellowship within the CORNERSTONE project. Following the public selection…
CORNERSTONE Project – Call for Applications We are pleased to announce the opening of a research fellowship position within the CORNERSTONE project: “CORonal mass ejection, solar eNERgetic particle and flare…
The CORonal mass ejection, solar eNERgetic particle and flare forecaSTing from phOtospheric sigNaturEs (CORNERSTONE) project had its official kick-off on 01/12/2023, with a meeting among all the partners. The CORNERSTONE…
Our ambition is to propose a general strategy for bringing physics information into the machine learning algorithms. The CORNERSTONE project is an interdisciplinary research project whose overall objectives are to…