most citedMechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CE2025★ 6 cited

Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response

Morgan D. Sanger, Mertcan Geyin, Brett W. Maurer

Using machine learning (ML), high performance computing, and a large body of geospatial information, we develop surrogate models to predict soil liquefaction across regional scales…