By Professor Ryan T. Armstrong

Journal articles

Tang K; Li Z; Da Wang Y; McClure J; Su H; Mostaghimi P; Armstrong RT, 2023, 'A Pore-Scale Model for Electrokinetic In situ Recovery of Copper: The Influence of Mineral Occurrence, Zeta Potential, and Electric Potential', Transport in Porous Media, 150, pp. 601 - 626, http://dx.doi.org/10.1007/s11242-023-02023-2

Wang YD; Meyer Q; Tang K; McClure JE; White RT; Kelly ST; Crawford MM; Iacoviello F; Brett DJL; Shearing PR; Mostaghimi P; Zhao C; Armstrong RT, 2023, 'Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning', Nature Communications, 14, http://dx.doi.org/10.1038/s41467-023-35973-8

Jing Y; Kumaran AU; Stimson DHR; Mardon K; Najdovski L; Armstrong RT; Mostaghimi P, 2023, 'Positron emission tomography dataset of [11C]carbon dioxide storage in coal for geo-sequestration application', Scientific Data, 10, http://dx.doi.org/10.1038/s41597-023-02754-3

Lanetc Z; Zhuravljov A; Armstrong RT; Mostaghimi P, 2023, 'Hybrid numerical methods for modelling multi-physics mass transport in coal', International Journal of Heat and Mass Transfer, 214, http://dx.doi.org/10.1016/j.ijheatmasstransfer.2023.124386

Lanetc Z; Zhuravljov A; Tang K; Armstrong RT; Mostaghimi P, 2023, 'Multi-scale modelling of multi-physics flow in coal seams', Gas Science and Engineering, 118, http://dx.doi.org/10.1016/j.jgsce.2023.205081

Rabbani A; Sun C; Babaei M; Niasar VJ; Armstrong RT; Mostaghimi P, 2023, 'DeepAngle: Fast calculation of contact angles in tomography images using deep learning', Geoenergy Science and Engineering, 227, http://dx.doi.org/10.1016/j.geoen.2023.211807

Alzubaidi F; Nalinakumar H; Clark SR; Lie JE; Mostaghimi P; Armstrong RT, 2023, 'Improved Fracture Segmentation from Unwrapped Drill-Core Images Using an Innovative Two-Stage Segmentation Approach', Mathematical Geosciences, 55, pp. 829 - 857, http://dx.doi.org/10.1007/s11004-023-10053-1

Al-Zubaidi F; Mostaghimi P; Niu Y; Armstrong RT; Mohammadi G; McClure JE; Berg S, 2023, 'Effective permeability of an immiscible fluid in porous media determined from its geometric state', Physical Review Fluids, 8, http://dx.doi.org/10.1103/PhysRevFluids.8.064004

Mostaghimi P; Wang YD; Chung T; Armstrong R, 2023, 'Application of machine learning in predicting flow and transport in porous media', , http://dx.doi.org/10.5194/egusphere-egu23-4072

Spurin C; Armstrong RT; McClure J; Berg S, 2023, 'Dynamic mode decomposition for analysing multi-phase flow in porous media', Advances in Water Resources, 175, http://dx.doi.org/10.1016/j.advwatres.2023.104423

Yuan M; Jing Y; Lanetc Z; Zhuravljov A; Soleimani F; Si G; Armstrong RT; Mostaghimi P, 2023, 'Modelling multicomponent gas diffusion and predicting the concentration-dependent effective diffusion coefficient of coal with application to carbon geo-sequestration', Fuel, 339, http://dx.doi.org/10.1016/j.fuel.2022.127255

Tang K; Wang YD; Niu Y; Honeyands TA; Dea DO; Mostaghimi P; Armstrong RT; Knackstedt M, 2023, 'Particle classification of iron ore sinter green bed mixtures by 3D X-ray microcomputed tomography and machine learning', Powder Technology, 415, http://dx.doi.org/10.1016/j.powtec.2022.118151

Herring AL; Sun C; Armstrong RT; Saadatfar M, 2023, 'Insights into wettability alteration during cyclic scCO2-brine injections in a layered Bentheimer sandstone', International Journal of Greenhouse Gas Control, 122, http://dx.doi.org/10.1016/j.ijggc.2022.103803

Baatar L; Mostaghimi P; Yuan M; Armstrong RT; Adler L; Canbulat I; Si G; Gaidarov B; Jing Y, 2023, 'Multiscale measurements of gas diffusion coefficient of coal using counter-diffusion and image-based methods', International Journal of Coal Geology, 265, http://dx.doi.org/10.1016/j.coal.2022.104155

Jing Y; Rabbani A; Armstrong RT; Wang J; Zhang Y; Mostaghimi P, 2022, 'An image-based coal network model for simulating hydro-mechanical gas flow in coal: An application to carbon dioxide geo-sequestration', Journal of Cleaner Production, 379, http://dx.doi.org/10.1016/j.jclepro.2022.134647

Ebadi M; Armstrong RT; Mostaghimi P; Wang YD; Alqahtani N; Amirian T; James LA; Parmar A; Zahra D; Hamze H; Koroteev D, 2022, 'Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments', Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR031814

Niu Y; Jackson SJ; Alqahtani N; Mostaghimi P; Armstrong RT, 2022, 'Paired and Unpaired Deep Learning Methods for Physically Accurate Super-Resolution Carbonate Rock Images', Transport in Porous Media, 144, pp. 825 - 847, http://dx.doi.org/10.1007/s11242-022-01842-z

McClure JE; Fan M; Berg S; Armstrong RT; Berg CF; Li Z; Ramstad T, 2022, 'Relative permeability as a stationary process: Energy fluctuations in immiscible displacement', Physics of Fluids, 34, http://dx.doi.org/10.1063/5.0107149

Lanetc Z; Zhuravljov A; Jing Y; Armstrong RT; Mostaghimi P, 2022, 'Coupling of pore network modelling and volume of fluid methods for multiphase flow in fractured media', Fuel, 319, http://dx.doi.org/10.1016/j.fuel.2022.123563

Tang K; Wang YD; Mostaghimi P; Knackstedt M; Hargrave C; Armstrong RT, 2022, 'Deep convolutional neural network for 3D mineral identification and liberation analysis', Minerals Engineering, 183, http://dx.doi.org/10.1016/j.mineng.2022.107592

Alzubaidi F; Mostaghimi P; Si G; Swietojanski P; Armstrong RT, 2022, 'Automated Rock Quality Designation Using Convolutional Neural Networks', Rock Mechanics and Rock Engineering, 55, pp. 3719 - 3734, http://dx.doi.org/10.1007/s00603-022-02805-y

Alqahtani NJ; Niu Y; Wang YD; Chung T; Lanetc Z; Zhuravljov A; Armstrong RT; Mostaghimi P, 2022, 'Super-Resolved Segmentation of X-ray Images of Carbonate Rocks Using Deep Learning', Transport in Porous Media, 143, pp. 497 - 525, http://dx.doi.org/10.1007/s11242-022-01781-9

Tang K; Meyer Q; White R; Armstrong RT; Mostaghimi P; Da Wang Y; Liu S; Zhao C; Regenauer-Lieb K; Tung PKM, 2022, 'Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells', Computers and Chemical Engineering, 161, http://dx.doi.org/10.1016/j.compchemeng.2022.107768

Jackson SJ; Niu Y; Manoorkar S; Mostaghimi P; Armstrong RT, 2022, 'Deep Learning of Multiresolution X-Ray Micro-Computed-Tomography Images for Multiscale Modeling', Physical Review Applied, 17, http://dx.doi.org/10.1103/PhysRevApplied.17.054046

Yuan M; Jing Y; Armstrong RT; Mostaghimi P, 2022, 'Prediction of local diffusion coefficient based on images of fractured coal cores', Journal of Natural Gas Science and Engineering, 100, http://dx.doi.org/10.1016/j.jngse.2022.104427

Higgs S; Da Wang Y; Sun C; Ennis-King J; Jackson SJ; Armstrong RT; Mostaghimi P, 2022, 'In-situ hydrogen wettability characterisation for underground hydrogen storage', International Journal of Hydrogen Energy, 47, pp. 13062 - 13075, http://dx.doi.org/10.1016/j.ijhydene.2022.02.022

Tang K; Da Wang Y; McClure J; Chen C; Mostaghimi P; Armstrong RT, 2022, 'Generalizable Framework of Unpaired Domain Transfer and Deep Learning for the Processing of Real-Time Synchrotron-Based X-Ray Microcomputed Tomography Images of Complex Structures', Physical Review Applied, 17, http://dx.doi.org/10.1103/PhysRevApplied.17.034048

Sun C; McClure J; Berg S; Mostaghimi P; Armstrong RT, 2022, 'Universal description of wetting on multiscale surfaces using integral geometry', Journal of Colloid and Interface Science, 608, pp. 2330 - 2338, http://dx.doi.org/10.1016/j.jcis.2021.10.152

Rubaiya Muin S; Spicer PT; Tang K; Niu Y; Hosseini M; Mostaghimi P; Armstrong RT, 2022, 'Dynamic X-ray micotomography of microfibrous cellulose liquid foams using deep learning', Chemical Engineering Science, 248, http://dx.doi.org/10.1016/j.ces.2021.117173

Alzubaidi F; Makuluni P; Clark SR; Lie JE; Mostaghimi P; Armstrong RT, 2022, 'Automatic fracture detection and characterization from unwrapped drill-core images using mask R–CNN', Journal of Petroleum Science and Engineering, 208, http://dx.doi.org/10.1016/j.petrol.2021.109471

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2021, 'Minimising the impact of sub-resolution features on fluid flow simulation in porous media', Journal of Petroleum Science and Engineering, 207, http://dx.doi.org/10.1016/j.petrol.2021.109055

Herring AL; Sun C; Armstrong RT; Li Z; McClure JE; Saadatfar M, 2021, 'Evolution of Bentheimer Sandstone Wettability During Cyclic scCO2-Brine Injections', Water Resources Research, 57, http://dx.doi.org/10.1029/2021WR030891

Armstrong RT; Sun C; Mostaghimi P; Berg S; Rücker M; Luckham P; Georgiadis A; McClure JE, 2021, 'Multiscale Characterization of Wettability in Porous Media', Transport in Porous Media, 140, pp. 215 - 240, http://dx.doi.org/10.1007/s11242-021-01615-0

Jing Y; Yuan M; Lu X; Armstrong RT; Wang J; Mostaghimi P, 2021, 'Coupling of pipe network modelling and domain decomposition for flow in mineralised coal cores', International Journal of Coal Geology, 245, http://dx.doi.org/10.1016/j.coal.2021.103819

McClure JE; Berg S; Armstrong RT, 2021, 'Thermodynamics of fluctuations based on time-and-space averages', Physical Review E, 104, http://dx.doi.org/10.1103/PhysRevE.104.035106

McClure JE; Berg S; Armstrong RT, 2021, 'Capillary fluctuations and energy dynamics for flow in porous media', Physics of Fluids, 33, http://dx.doi.org/10.1063/5.0057428

Alqahtani NJ; Chung T; da Wang Y; Armstrong RT; Swietojanski P; Mostaghimi P, 2021, 'Flow-based characterization of digital rock images using deep learning', SPE Journal, 26, pp. 1800 - 1811, http://dx.doi.org/10.2118/205376-PA

Wang YD; Shabaninejad M; Armstrong RT; Mostaghimi P, 2021, 'Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images', Applied Soft Computing, 104, http://dx.doi.org/10.1016/j.asoc.2021.107185

Niu Y; Da Wang Y; Mostaghimi P; McClure JE; Yin J; Armstrong RT, 2021, 'Geometrical-Based Generative Adversarial Network to Enhance Digital Rock Image Quality', Physical Review Applied, 15, http://dx.doi.org/10.1103/PhysRevApplied.15.064033

Rücker M; Georgiadis A; Armstrong RT; Ott H; Brussee N; van der Linde H; Simon L; Enzmann F; Kersten M; Berg S, 2021, 'The Origin of Non-thermal Fluctuations in Multiphase Flow in Porous Media', Frontiers in Water, 3, http://dx.doi.org/10.3389/frwa.2021.671399

Armstrong RT; Lanetc Z; Mostaghimi P; Zhuravljov A; Herring A; Robins V, 2021, 'Correspondence of max-flow to the absolute permeability of porous systems', Physical Review Fluids, 6, http://dx.doi.org/10.1103/PhysRevFluids.6.054003

Wang YD; Chung T; Armstrong RT; Mostaghimi P, 2021, 'ML-LBM: Predicting and Accelerating Steady State Flow Simulation in Porous Media with Convolutional Neural Networks', Transport in Porous Media, 138, pp. 49 - 75, http://dx.doi.org/10.1007/s11242-021-01590-6

Lanetc Z; Zhuravljov A; Jing Y; Armstrong RT; Mostaghimi P, 2021, 'Coupling of transient matrix diffusion and pore network models for gas flow in coal', Journal of Natural Gas Science and Engineering, 88, http://dx.doi.org/10.1016/j.jngse.2020.103741

Wang YD; Blunt MJ; Armstrong RT; Mostaghimi P, 2021, 'Deep learning in pore scale imaging and modeling', Earth Science Reviews, 215, http://dx.doi.org/10.1016/j.earscirev.2021.103555

Wang YD; Chung T; Rabbani A; Armstrong RT; Mostaghimi P, 2021, 'Fast direct flow simulation in porous media by coupling with pore network and Laplace models', Advances in Water Resources, 150, http://dx.doi.org/10.1016/j.advwatres.2021.103883

Muin SR; Rabbani A; Bournival G; Ata S; Armstrong RT, 2021, 'Utilization of microcomputed tomography and pore network modeling to characterize foam dynamics', Chemical Engineering Science, 230, http://dx.doi.org/10.1016/j.ces.2020.116174

Alzubaidi F; Mostaghimi P; Swietojanski P; Clark SR; Armstrong RT, 2021, 'Automated lithology classification from drill core images using convolutional neural networks', Journal of Petroleum Science and Engineering, 197, http://dx.doi.org/10.1016/j.petrol.2020.107933

Singh A; Rabbani A; Regenauer-Lieb K; Armstrong RT; Mostaghimi P, 2021, 'Computer vision and unsupervised machine learning for pore-scale structural analysis of fractured porous media', Advances in Water Resources, 147, http://dx.doi.org/10.1016/j.advwatres.2020.103801

Niu Y; Wang YD; Mostaghimi P; Swietojanski P; Armstrong RT, 2020, 'An Innovative Application of Generative Adversarial Networks for Physically Accurate Rock Images With an Unprecedented Field of View', Geophysical Research Letters, 47, http://dx.doi.org/10.1029/2020GL089029

Jing Y; Rabbani A; Armstrong RT; Wang J; Mostaghimi P, 2020, 'A hybrid fracture-micropore network model for multiphysics gas flow in coal', Fuel, 281, http://dx.doi.org/10.1016/j.fuel.2020.118687

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