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physics.geo-ph2026
TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology
Feng Liu, Jian Xu, Xin Cui +11
Modern seismic networks resolve earthquake sequences in unprecedented detail, yet explaining how large earthquakes emerge from evolving fault systems remains difficult. We introduc…
physics.geo-ph2025
OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion
Feng Liu, Sijie Zhao, Xinyu Gu +8
Surface wave dispersion curve inversion plays a critical role in both shallow resource exploration and deep geological studies, yet it remains hindered by sensitivity to initial mo…
physics.geo-ph2023
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks
Pumeng Lyu, Tao Tang, Fenghua Ling +4
Recent studies have shown that deep learning (DL) models can skillfully predict the El Niño-Southern Oscillation (ENSO) forecasts over 1.5 years ahead. However, concerns regarding…