From the 2 of 6 linked papers with an AI index.
6 papers
How to quantify earthquake predictability? Advances in earthquake forecasting and predictability limits
Jiancang Zhuang, Didier Sornette
The paper proposes an information‑theoretic framework that quantifies how predictable earthquakes are by measuring entropy gaps and information gains, applying it to point‑process…
Non-normal amplification in multitype Hawkes-ETAS models of earthquake triggering
Didier Sornette
The paper extends the ETAS earthquake‑triggering framework to a three‑type Hawkes model that distinguishes strike‑slip, normal, and reverse faults, showing that non‑normal branchin…
Haicheng and Tangshan Earthquakes as potential Dragon-Kings
Jiawei Li, Didier Sornette
The dragon-king earthquake hypothesis proposes that some very large to great earthquakes are not merely the extreme end of the frequency-magnitude Gutenberg-Richter distribution (F…
Self-Similar Bridge between Regular and Critical Regions
V. I. Yukalov, E. P. Yukalova, D. Sornette
In statistical and nonlinear systems, two qualitatively distinct parameter regions are typically identified: the regular region, characterized by smooth behavior of key quantities,…
Estimating Magnitude Completeness in Earthquake Catalogs: A Comparative Study of Catalog-based Methods
Xinyi Wang, Jiawei Li, Ao Feng +1
Without rigorous attention to the completeness of earthquake catalogs, claims of new discoveries or forecasting skills cannot be deemed credible. Therefore, estimating the complete…
Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review
Zhang Ying, Wen Congcong, Sornette Didier +1
Earthquake forecasting remains a significant scientific challenge, with current methods falling short of achieving the performance necessary for meaningful societal benefits. Tradi…