“Learned multiphysics inversion with differentiable programming and machine learning” is the most downloaded paper of 2023 in TLE

We are excited to share that our manuscript titled “Learned multiphysics inversion with differentiable programming and machine learning” has been recognized as the most downloaded paper of 2023 in The Leading Edge! A big thank you to the Society of Exploration Geophysicists (SEG) and The Leading Edge for providing a platform to showcase our work. Check out the paper on the TLE website: The Leading Edge (Society of Exploration Geophysicists) (seg.org).