24 results on '"Kamrava, Serveh"'
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2. An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features
3. Modeling the physical properties of hydrate‐bearing sediments: Considering the effects of occurrence patterns
4. Effect of Wettability on Two-Phase Flow Through Granular Porous Media: Fluid Rupture and Mechanics of the Media
5. Charge-density based convolutional neural networks for stacking fault energy prediction in concentrated alloys
6. Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning
7. Machine learning in geo- and environmental sciences: From small to large scale
8. Simulating fluid flow in complex porous materials by integrating the governing equations with deep-layered machines
9. Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning
10. Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm
11. A pore-scale mathematical modeling of fluid-particle interactions: Thermo-hydro-mechanical coupling
12. Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook
13. Corrigendum to “An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features” [Fuel 352 (2023) 128753]
14. A Multiscale Approach for Geologically and Flow Consistent Modeling
15. End-to-end three-dimensional designing of complex disordered materials from limited data using machine learning
16. Managing abnormal operation through process integration and cogeneration systems
17. Machine-learning algorithm for identifying and predicting amyotrophic lateral sclerosis causal mutations
18. Retraction: Phase transitions, percolation, fracture of materials, and deep learning [Phys. Rev. E 102 , 011001(R) (2020)]
19. Estimating Dispersion Coefficient in Flow Through Heterogeneous Porous Media by a Deep Convolutional Neural Network
20. Phase transitions, percolation, fracture of materials, and deep learning
21. Quantifying accuracy of stochastic methods of reconstructing complex materials by deep learning
22. Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning
23. Rapid multiscale modeling of flow in porous media
24. Managing abnormal operation through process integration and cogeneration systems
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