Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments

Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo et al. · Journal of Scientific Computing · 2022 · 2.3K citations · Full text

Computing, Computer Science, Physics +16

Advances in Bayesian network modelling: Integration of modelling technologies

Bruce G. Marcot, Trent D. Penman · Environmental Modelling & Software · 2018 · 442 citations

Computing, Systems Engineering, Statistical Modeling +11

A Pore-Scale Study of Fracture Dynamics in Rock Using X-ray Micro-CT Under Ambient Freeze–Thaw Cycling

Tim De Kock, Marijn Boone, Thomas De Schryver et al. · Environmental Science & Technology · 2015 · 190 citations

Engineering, Earth Sciences, Geological Engineering +17

Geometry- and Accuracy-Preserving Random Forest Proximities

Jake S. Rhodes, Adele Cutler, Kevin R. Moon · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023 · 171 citations

Computing, Computer Science, Data Science +13

Investigation on the effect of freeze-thaw on fracture mode classification in marble subjected to multi-level cyclic loads

Y. Wang, B. Zhang, Songyang Gao et al. · Theoretical and Applied Fracture Mechanics · 2020 · 154 citations

Engineering, Civil Engineering, Mechanical Behavior Of Materials +12