Ziyan Wang presents "A theory-guided data-driven framework for modeling reactive transport and clogging in multiscale fracture networks" at AGU 2021

‘A theory-guided data-driven framework for modeling reactive transport and clogging in multiscale fracture networks’, American Geophysical Union (AGU) Fall Meeting, New Orleans, 2021 December.

Paper: Z. Wang, I. Battiato. Upscaling reactive transport and clogging in shale microcracks by deep learning. Water Resources Research 57: e2020WR029125, 2021. pdf