Results 91 to 100 of about 18,650 (210)

Latent Representation Learning in Physics‐Informed Neural Networks for Full Waveform Inversion

open access: yesEarth and Space Science
Full waveform inversion (FWI), a state‐of‐the‐art seismic inversion algorithm, comprises an iterative data‐fitting process to recover high‐resolution Earth's properties (e.g., velocity).
Mohammad H. Taufik   +2 more
doaj   +1 more source

Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows

open access: yesJournal of Geophysical Research: Machine Learning and Computation
Full waveform inversion (FWI) is able to construct high‐resolution subsurface models by iteratively minimizing discrepancies between observed and simulated seismic data.
Feng Liu   +3 more
doaj   +1 more source

sFWI: physics-informed score-based generative modeling for robust full waveform inversion

open access: yesMachine Learning: Science and Technology
Full waveform inversion (FWI) is an important geophysical imaging technique with applications in hydrocarbon exploration, subsurface carbon storage, and earthquake hazard assessment. However, FWI’s efficacy is greatly affected by its ill-posed, nonlinear
Zicheng Gai, Yanfei Wang
doaj   +1 more source

The emerging human fingerprint on global extreme fire weather. [PDF]

open access: yesSci Adv
Turco M   +8 more
europepmc   +1 more source

Increasing synchronicity of global extreme fire weather. [PDF]

open access: yesSci Adv
Yin C   +6 more
europepmc   +1 more source

An assessment of weather-related risks in Europe [PDF]

open access: yes, 2009
Bindi, M.   +8 more
core  

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