works on
deep learning 1full-waveform inversion 1physics-informed neural networks 1synthetic validation 1uncertainty quantification 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

physics.geo-ph2026

Reliability-calibrated deep residual full-waveform inversion using geometry-invariant physics encoding: synthetic validation and zero-shot Marmousi-2 testing

Deepak Kumar, Jayant Nath Tripathi, Laxmidhar Behera

The paper presents a deep learning pipeline that uses physics‑derived inputs to correct full‑waveform inversion results and provides calibrated, pixel‑wise uncertainty estimates th…