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Peyman Mostaghimi

Observed names: Mostaghimi Peyman, Mostaghimi, Peyman, P. Mostaghimi, P.. Mostaghimi, PEYMAN MOSTAGHIMI
Institution: UNSW Sydney
ORCID: 0000-0002-2071-6247
Observed ORCID: 0000-0002-2071-6247
OpenAlex ID: A5012826639
Pore-scale imaging and modelling
2012 · Martin J. Blunt, Branko Bijeljic, et al. · Advances in Water Resources · 2,083
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Computations of Absolute Permeability on Micro-CT Images
2012 · Peyman Mostaghimi, Martin J. Blunt, et al. · Mathematical Geosciences · 475
Predictions of non-Fickian solute transport in different classes of porous media using direct simulation on pore-scale images
2013 · Branko Bijeljic, Ali Raeini, et al. · Physical Review E · 280
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Deep learning in pore scale imaging and modeling
2021 · Ying Da Wang, Martin J. Blunt, et al. · Earth-Science Reviews · 272
Signature of Non-Fickian Solute Transport in Complex Heterogeneous Porous Media
2011 · Branko Bijeljic, Peyman Mostaghimi, et al. · Physical Review Letters · 272
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Porosity and permeability characterization of coal: a micro-computed tomography study
2015 · Hamed Lamei Ramandi, Peyman Mostaghimi, et al. · International Journal of Coal Geology · 265
In-situ hydrogen wettability characterisation for underground hydrogen storage
2022 · Scott Higgs, Ying Da Wang, et al. · International Journal of Hydrogen Energy · 234
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Automated lithology classification from drill core images using convolutional neural networks
2020 · Fatimah Alzubaidi, Peyman Mostaghimi, et al. · Journal of Petroleum Science and Engineering · 198
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
2023 · Ying Da Wang, Quentin Meyer, et al. · Nature Communications · 189
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Cleat-scale characterisation of coal: An overview
2017 · Peyman Mostaghimi, Ryan T. Armstrong, et al. · Journal of Natural Gas Science and Engineering · 161
Machine learning for predicting properties of porous media from 2d X-ray images
2019 · Naif Alqahtani, Fatimah Alzubaidi, et al. · Journal of Petroleum Science and Engineering · 160
Insights into non‐Fickian solute transport in carbonates
2013 · Branko Bijeljic, Peyman Mostaghimi, et al. · Water Resources Research · 156
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Liquid metal synthesis solvents for metallic crystals
2022 · Shuhada A. Idrus-Saidi, Jianbo Tang, et al. · Science · 153
Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images
2021 · Ying Da Wang, Mehdi Shabaninejad, et al. · Applied Soft Computing · 153
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Enhancing Resolution of Digital Rock Images with Super Resolution Convolutional Neural Networks
2019 · Ying Da Wang, Ryan T. Armstrong, et al. · Journal of Petroleum Science and Engineering · 152
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Simulation of Flow and Dispersion on Pore-Space Images
2012 · Peyman Mostaghimi, Branko Bijeljic, et al. · SPE Journal · 139
Coal cleat reconstruction using micro-computed tomography imaging
2016 · Yu Jing, Ryan T. Armstrong, et al. · Fuel · 132
Application of microfluidics in chemical enhanced oil recovery: A review
2022 · Mahmood Fani, Peyman Pourafshary, et al. · Fuel · 121
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
2019 · Ying Da Wang, Ryan T. Armstrong, et al. · Water Resources Research · 117
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Direct measurement of hydrogen relative permeability hysteresis for underground hydrogen storage
2023 · Scott Higgs, Ying Da Wang, et al. · International Journal of Hydrogen Energy · 107
Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks
2020 · Yufu Niu, Peyman Mostaghimi, et al. · Water Resources Research · 106
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Multiscale Characterization of Wettability in Porous Media
2021 · Ryan T. Armstrong, Chenhao Sun, et al. · Transport in Porous Media · 104
Rough-walled discrete fracture network modelling for coal characterisation
2016 · Yu Jing, Ryan T. Armstrong, et al. · Fuel · 104
Impact of mineralogical heterogeneity on reactive transport modelling
2017 · Min Liu, Mehdi Shabaninejad, et al. · Computers & Geosciences · 100
Numerical Simulation of Reactive Transport on Micro-CT Images
2016 · Peyman Mostaghimi, Min Liu, et al. · Mathematical Geosciences · 99
Works count: 248
Citation count: 10,670
H-index: 55
I10-index: 128
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