1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Spectral condensation in a finite nonequilibrium atmospheric transition
Dan Zhao, Yongwen Zhang, Teng Liu +3
Order parameters are difficult to define in high-dimensional nonequilibrium systems that lack a Hamiltonian, a thermodynamic limit or an observed control coordinate. Here we show t…
A combining earthquake forecasting model between deep learning and Epidemic-Type Aftershock Sequence (ETAS) model
Haoyuan Zhang, Shuya Ke, Wenqi Liu +1
The scientific process of earthquake forecasting involves estimating the probability and intensity of earthquakes in a specific area within a certain timeframe, based on seismic ac…
Intra-annual Principal Modes and Evolution Mechanism of the El Nino Southern Oscillation
Yongwen Zhang, Jingfang Fan, Xiaoteng Li +2
The El Nino-Southern Oscillation (ENSO) is one of the most important phenomena in climate. By studying the fluctuations of surface air temperature within one year between 1979-01-0…