M-Twin4US MSCA Postdoctoral Fellowship

Outputs

Software, data and supplementary material accompanying M-Twin4US publications.

GPR4Net Interactive Dashboard

Supplementary output · Accompanies a journal manuscript currently under revision

GPR4Net is a lightweight neural-network surrogate that predicts GPR B-scans in about 7 ms per sample, compared with roughly 102 s for an FDTD simulation. The dashboard demonstrates three predictive digital-twin scenarios: tunnel-lining inspection at 800 MHz and 600 MHz, and buried-pipeline detection at 1 GHz. Adjust subsurface parameters in the sidebar and the surrogate predicts the corresponding B-scan.

Open full screen ↗ Source code on GitHub ↗

On a phone, the dashboard works best in full screen — tap Open full screen above.

Loading the dashboard…

If the app shows “This app has gone to sleep”, click the wake-up button inside it and wait about 30 seconds. Built with Streamlit.

Flag of the European Union Funded by
the European Union

This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101205667.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.