From the 1 of 2 linked papers with an AI index.
2 papers
physics.geo-ph2026
Scaling-law-informed neural point processes for earthquake sequence forecasting
Tianlu Xiong, Zaibo Zhao, Yunrui Li +3
Earthquake sequence forecasting requires models that can learn nonlinear history dependence while retaining robust statistical structure. We develop a scaling-law-informed neural m…
physics.soc-ph2026
Criticality and reduced dynamical resilience in PM2.5 pollution systems
Yuan Chen, Yongwen Zhang, Xu Li +5
The paper introduces a finite-memory multiplicative reversion model to link the lognormal distribution of PM2.5 concentrations with temporal memory, variance amplification, and loc…