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Data-Efficient Learning for Pore-Scale Interface Dynamics: Controlled-Accuracy Sequential Transfer Across Evolving Domains

https://doi.org/10.2139/ssrn.6880621
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Modeling and simulation of multiphase flow in highly fractured porous media with a data-driven multiscale approach
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Pore-Scale Imaging and Modelling of Reactive Flow in Evolving Porous Media: Tracking the Dynamics of the Fluid–Rock Interface
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An improved transfer learning strategy for short-term cross-building energy prediction using data incremental
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Pore-scale imaging and modelling
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A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view
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Feature-space augmented transfer learning for sample-efficient prediction of vibration-induced droplet dynamics in constricted microtubes
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Scaling the predictions of multiphase flow through porous media using operator learning
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Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
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Transfer prior knowledge from surrogate modelling: A meta-learning approach
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A deep learning based surrogate model for reservoir dynamic performance prediction
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Active- and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows
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A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario
inferredcites →https://doi.org/10.1016/j.tics.2020.09.004openalex-snapshot
Embracing Change: Continual Learning in Deep Neural Networks
inferredcites →https://doi.org/10.1016/s1359-0294(01)00084-xopenalex-snapshot
Flow in porous media — pore-network models and multiphase flow
inferredcites →https://doi.org/10.1017/cbo9780511800955openalex-snapshot
An Introduction to Fluid Dynamics
inferredcites →https://doi.org/10.1017/s0022112061000160openalex-snapshot
The motion of long bubbles in tubes
inferredcites →https://doi.org/10.1063/5.0306374openalex-snapshot
Learning from theory: Rapid predictions of vibration-driven droplet motion in asymmetric pores
inferredcites →https://doi.org/10.1073/pnas.1901619116openalex-snapshot
Comprehensive comparison of pore-scale models for multiphase flow in porous media
inferredcites →https://doi.org/10.1073/pnas.2305890120openalex-snapshot
Multiscale drainage dynamics with Haines jumps monitored by stroboscopic 4D X-ray microscopy
inferredcites →https://doi.org/10.1109/tvcg.2014.2346321openalex-snapshot
Visual Parameter Space Analysis: A Conceptual Framework
inferredcites →https://doi.org/10.1146/annurev-fluid-010719-060214openalex-snapshot
Machine Learning for Fluid Mechanics
inferredcites →https://doi.org/10.1190/1.2353803openalex-snapshot
Theory of vibratory mobilization on nonwetting fluids entrapped in pore constrictions
inferredcites →https://doi.org/10.1201/9781003053996-2openalex-snapshot
Control Volume Analysis
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