Porous Media Flow

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18 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. PoreML: A Data-Driven Framework for Learning Multiphase Flow in Porous Media

    Oct 7, 2026Chunyang Wang, Mingrui Zhang, Yuyan Zhang +5Porous Media FlowNeural Surrogate Modeling

    Imperial College London · Stanford University · EarthFlow AI, Inc. +1

  2. Domain-decomposed Evolutional Deep Neural Network with Random Features for Transient Pressure Diffusion with Discontinuous and High-Contrast Coefficients

    Sep 17, 2026Peiqi Li, Jie Chen, Hui Zhang +1Porous Media FlowDomain Decomposition Methods

    Department of Applied Mathematics, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China · Department of Mathematical Sciences, University of Liverpool, Liverpool, L69 3BX, United Kingdom

  3. Learnable composition for neural operators

    Sep 2, 2026Zituo Chen, Baiming Zhang, Sili DengNeural Surrogate ModelingPorous Media Flow

    MIT MechE · University of Toronto

  4. A Query-Time Framework for Transient 2D Pore-Scale Flow Prediction and Generative Design

    Aug 23, 2026Yiming Wang, Jiale Zhu, Zhichen Ye +4Porous Media FlowNeural Surrogate Modeling

    School of Civil Engineering, The University of Sydney, Sydney, 2006, NSW, Australia · MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Zhejiang University, Hangzhou, 310058, China · College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China +2

  5. Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

    Jul 27, 2026Peng WangGenerative ModelingConditional Generative Modeling

    Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK

  6. Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs

    Jun 18, 2026Xiang Rao, Yuxuan ShenPorous Media FlowPDE Solving

    1. School of Petroleum Engineering, Yangtze University, Wuhan 430100, China · 2. School of Computer Science, Yangtze University, Jingzhou 434023, China · 3. State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization (Yangtze University), Wuhan 430100, China +2

  7. Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources

    Jun 10, 2026Manuel Reyna, Alexandre TartakovskyPorous Media FlowPDE Solving

    Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, 205 North Mathews Avenue, Urbana, 61801, IL, USA

  8. Physics-informed convolutional neural networks for fluid flow through porous media

    May 18, 2026Rafał Topolnicki, Paweł Dłotko, Maciej MatykaPDE Surrogate ModelingPhysics-Informed ML

    Dioscuri Center in Topological Data Analysis, Institute of Mathematics, Polish Academy of Sciences, ul. ´Sniadeckich 8, 00-656, Warsaw, Poland · Institute of Experimental Physics, Faculty of Physics and Astronomy, University of Wrocław, pl. M. Borna 9, 50-204, Wrocław, Poland · Institute of Theoretical Physics, Faculty of Physics and Astronomy, University of Wrocław, pl. M. Borna 9, Wrocław, 50-204, Poland +1

  9. Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media

    May 17, 2026Ebru Dagdelen, Catherin Neena Lalu, Aakash Karlekar +5Materials Property PredictionPorous Media Flow

    Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ · Department of Physics, New Jersey Institute of Technology, Newark, NJ

  10. CO2_2 sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)

    Apr 22, 2026Askold Vilkha, Tomasz Służalec, Marcin Łoś +1Neural PDE SolversPorous Media Flow

    AGH University of Krakow, Faculty of Computer Science, Al. Mickiewicza 2026 30, Kraków, 30-059, Poland

  11. Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media

    Apr 15, 2026Peiqi Li, Jie Chen, Shubin FuPorous Media FlowFinite Element Method

    Department of Applied Mathemaitcs, Xi’an Jiaotong-Liverpool University, 215123, Suzhou, China · Department of Mathematical Sciences, University of Liverpool, L69 3BX, Liverpool, China · Eastern Institute for Advanced Study, Eastern Institute of Technology, 315200, Ningbo, China

  12. An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media

    Mar 20, 2026V. S. Maduri, K. B. NakshatralaNeural PDE SolversPorous Media Flow

    Department of Civil & Environmental Engineering University of Houston, Houston, Texas 77204, USA.

  13. Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer

    Mar 18, 2026Mohammad NooraiepourMaterials Property PredictionPorous Media Flow

    Faculty of Mathematics and Natural Sciences, University of Oslo, PO Box 1047 Blindern, 0316 Oslo, Norway

  14. Learning Pore-scale Multiphase Flow from 4D Velocimetry

    Mar 12, 2026Chunyang Wang, Linqi Zhu, Yuxuan Gu +9Porous Media FlowComputational Fluid Dynamics

    Department of Earth Science and Engineering, Imperial College London. · Department of Geology, Ghent University. · Department of Energy Science and Engineering, Stanford University. +2

  15. A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media

    Mar 11, 2026V. S. Maduri, K. B. NakshatralaPorous Media FlowComputational Fluid Dynamics

    Graduate Student, Department of Civil & Environmental Engineering University of Houston, Houston, Texas 77204. · Department of Civil & Environmental Engineering University of Houston, Houston, Texas 77204.

  16. Prediction of Steady-State Flow through Porous Media Using Machine Learning Models

    Mar 6, 2026Jinhong Wang, Matei C. Ignuta-Ciuncanu, Ricardo F. Martinez-Botas +1Porous Media FlowPDE Surrogate Modeling

    Department of Mechanical Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, , United Kingdom

  17. Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

    Feb 25, 2026Nathalie C. Pinheiro, Donghu Guo, Hannah P. Menke +4Surrogate ModelingPDE Surrogate Modeling

    Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ UK · Institute of GeoEnergy Engineering, Heriot-Watt University, Edinburgh, EH14 1AS UK · Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ UK +2

  18. Physics-constrained symbolic regression for discovering closed-form equations of multimodal water retention curves from experimental data

    Feb 24, 2026Yejin Kim, Hyoung Suk SuhPorous Media FlowSymbolic Regression

    Department of Civil and Environmental Engineering, Case Western Reserve University, United States