Implicit Neural Representation for Magnetotelluric Inversion: EGU 2026
At EGU General Assembly 2026 in Vienna, Central South University Ph.D. student Yanyi Wang presented a novel physics-driven deep learning approach for 2-D magnetotelluric (MT) inversion. This collaborative project with E. Attias (OCEEMlab) and Xavier Garcia (CSIC-ICM) leverages implicit neural representations (INRs) to advance geophysical inversion techniques. Unlike traditional methods that rely on manually tuned penalty terms such as Tikhonov or Occam regularization to stabi
May 16


OCEEMlab welcomes Kerry Key and Saikiran Tharimena to our Scientific Advisors
OCEEMlab is thrilled to announce the addition of two eminent figures to our distinguished scientific advisors - Kerry Key and Saikiran...
Apr 8, 2024


OCEEMlab team sailing onboard WHOI's R/V Atlantis
In January 2024, WHOI's R/V Atlantis, recently out of dry dock, embarked on a 5-day calibration cruise from San Diego. This voyage,...
Jan 19, 2024


Empowering High-School Students in Geoscience: Inside OCEEMlab's GeoFORCE Program at AGU 2023
In the summer of 2023, OCEEMlab led a week of fieldwork to teach GeoFORACE (K-12 high-school) students small-scale active seismic and...
Dec 24, 2023


Exploring the Towed-CSEM Resistivity Model of GOFAR's Transform Fault: AGU 2023
At AGU Fall Meeting 2023, MIT-WHOI Ph.D. student Bailey L. Fluegel presented a preliminary resistivity model of the GOFAR on-axis...
Dec 20, 2023









