| Coupled fine-scale modeling of the wettability effects: Deformation and fracturing T Davydzenka, S Fagbemi, P Tahmasebi Physics of Fluids 32 (8), 2020 | 12 | 2020 |
| High-resolution fluid–particle interactions: a machine learning approach T Davydzenka, P Tahmasebi Journal of Fluid Mechanics 938, A20, 2022 | 10 | 2022 |
| Deep-layers-assisted machine learning for accurate image segmentation of complex materials T Davydzenka, D Sinclair, N Chawla, P Tahmasebi Materials Characterization 192, 112175, 2022 | 9 | 2022 |
| Wettability control on deformation: Coupled multiphase fluid and granular systems T Davydzenka, S Fagbemi, P Tahmasebi Physical Review E 102 (1), 013301, 2020 | 7 | 2020 |
| Improving remote sensing classification: A deep-learning-assisted model T Davydzenka, P Tahmasebi, M Carroll Computers & Geosciences 164, 105123, 2022 | 5 | 2022 |
| Unveiling the global extent of land subsidence: The sinking crisis T Davydzenka, P Tahmasebi, N Shokri Geophysical Research Letters 51 (4), e2023GL104497, 2024 | | 2024 |
| Coupled Fine-Scale Modeling of the Wettability Effects T Davydzenka, S Fagbemi, P Tahmasebi | | |
Samuel FagbemiResearcher, Oak Ridge National LaboratoryVerified email at ornl.gov
