20 citations · 31 across the 9 of their papers we have counts for
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physics.geo-ph2026
Continental-scale probabilistic resistivity imaging of Australia using deep learning: Implications for geology, groundwater, and critical minerals
Sihong Wu, Jiajia Sun, Jiefu Chen
Electrical resistivity is a fundamental physical property that provides powerful constraints on subsurface structure, lithology, fluid distribution, and mineralization. We present…
physics.geo-ph2019★ 2 cited
Progressive transfer learning for low frequency data prediction in full waveform inversion
Wenyi Hu, Yuchen Jin, Xuqing Wu +1
For the purpose of effective suppression of the cycle-skipping phenomenon in full waveform inversion (FWI), we developed a Deep Neural Network (DNN) approach to predict the absent…