By Dr Ying Da Wang

Journal articles

Wang T; Da Wang Y; Sun C; McClure JE; Mostaghimi P; Armstrong RT, 2024, 'Surface wetting characterization in pore-scale multiphase flow simulations: A Ketton carbonate case study', Geoenergy Science and Engineering, 240, http://dx.doi.org/10.1016/j.geoen.2024.212933

Tang K; Bo Z; Li Z; Da Wang Y; McClure J; Su H; Mostaghimi P; Armstrong RT, 2024, 'Controlled ion transport in the subsurface: A coupled advection-diffusion-electromigration system', Physics of Fluids, 36, http://dx.doi.org/10.1063/5.0213161

Wang T; McClure JE; Da Wang Y; Berg S; Chen C; Mostaghimi P; Armstrong RT, 2024, 'Time-And-Space Averaging Applied to Intermittent Multiphase Flow Experiments', Water Resources Research, 60, http://dx.doi.org/10.1029/2023WR036577

Wang YD; Kearney LM; Blunt MJ; Sun C; Tang K; Mostaghimi P; Armstrong RT, 2024, 'In situ characterization of heterogeneous surface wetting in porous materials', Advances in Colloid and Interface Science, 326, http://dx.doi.org/10.1016/j.cis.2024.103122

Higgs S; Wang YD; Sun C; Ennis-King J; Jackson SJ; Armstrong RT; Mostaghimi P, 2024, 'Direct measurement of hydrogen relative permeability hysteresis for underground hydrogen storage', International Journal of Hydrogen Energy, 50, pp. 524 - 541, http://dx.doi.org/10.1016/j.ijhydene.2023.07.270

Higgs S; Da Wang Y; Sun C; Ennis-King J; Jackson SJ; Armstrong RT; Mostaghimi P, 2023, 'Comparative analysis of hydrogen, methane and nitrogen relative permeability: Implications for Underground Hydrogen Storage', Journal of Energy Storage, 73, http://dx.doi.org/10.1016/j.est.2023.108827

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

Meyer Q; Liu S; Ching K; Da Wang Y; Zhao C, 2023, 'Operando monitoring of the evolution of triple-phase boundaries in proton exchange membrane fuel cells', Journal of Power Sources, 557, http://dx.doi.org/10.1016/j.jpowsour.2022.232539

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

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

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

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

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

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

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

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

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

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

Rabbani A; Babaei M; Shams R; Wang YD; Chung T, 2020, 'DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials', Advances in Water Resources, 146, http://dx.doi.org/10.1016/j.advwatres.2020.103787

Alzahid YA; Aborshaid H; Asali M; McClure J; Chen C; Mostaghimi P; Da Wang Y; Sun C; Armstrong RT, 2020, 'Real-time synchrotron-based X-ray computed microtomography during in situ emulsification', Journal of Petroleum Science and Engineering, 195, http://dx.doi.org/10.1016/j.petrol.2020.107885

Chung T; Da Wang Y; Armstrong RT; Mostaghimi P, 2020, 'CNN-PFVS: Integrating Neural Network and Finite Volume Models to Accelerate Flow Simulation on Pore Space Images', Transport in Porous Media, 135, pp. 25 - 37, http://dx.doi.org/10.1007/s11242-020-01466-1

Wang YD; Chung T; Armstrong RT; McClure J; Ramstad T; Mostaghimi P, 2020, 'Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation', Journal of Computational Physics, 401, http://dx.doi.org/10.1016/j.jcp.2019.108966

Wang YD; Armstrong RT; Mostaghimi P, 2020, 'Boosting Resolution and Recovering Texture of 2D and 3D Micro-CT Images with Deep Learning', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR026052

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2020, 'Voxel agglomeration for accelerated estimation of permeability from micro-CT images', Journal of Petroleum Science and Engineering, 184, http://dx.doi.org/10.1016/j.petrol.2019.106577

Wang YD; Armstrong RT; Mostaghimi P, 2019, 'Enhancing Resolution of Digital Rock Images with Super Resolution Convolutional Neural Networks', Journal of Petroleum Science and Engineering, 182, http://dx.doi.org/10.1016/j.petrol.2019.106261

Wang YD; Chung T; Armstrong RT; McClure JE; Mostaghimi P, 2019, 'Computations of permeability of large rock images by dual grid domain decomposition', Advances in Water Resources, 126, pp. 1 - 14, http://dx.doi.org/10.1016/j.advwatres.2019.02.002

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2019, 'Approximating permeability of microcomputed-tomography images using elliptic flow equations', SPE Journal, 24, pp. 1154 - 1163, http://dx.doi.org/10.2118/191379-PA

Aljehani AS; Wang YD; Rahman SS, 2018, 'An innovative approach to relative permeability estimation of naturally fractured carbonate rocks', Journal of Petroleum Science and Engineering, 162, pp. 309 - 324, http://dx.doi.org/10.1016/j.petrol.2017.12.055

Wang Y; Oeser JK; Yang C; Sarkar S; Hackl SI; Hasty AH; McGuinness OP; Paradee W; Hutton JC; Powell DR; O'Brien RM, 2006, 'Deletion of the gene encoding the ubiquitously expressed glucose-6-phosphatase catalytic subunit-related protein (UGRP)/glucose-6-phosphatase catalytic subunit-beta results in lowered plasma cholesterol and elevated glucagon', JOURNAL OF BIOLOGICAL CHEMISTRY, 281, pp. 39982 - 39989, http://dx.doi.org/10.1074/jbc.M605858200

Jiang X; Klimovich V; Arunkumar AI; Hysinger EB; Wang Y; Ott RD; Guler GD; Weiner B; Chazin WJ; Fanning E, 2006, 'Structural mechanism of RPA loading on DNA during activation of a simple pre-replication complex', EMBO JOURNAL, 25, pp. 5516 - 5526, http://dx.doi.org/10.1038/sj.emboj.7601432

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