PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images J Gostick, ZA Khan, T Tranter, M Kok, M Agnaou, M Sadeghi, R Jervis Journal of Open Source Software 4 (37), 1296, 2019 | 330 | 2019 |
Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes ZA Khan, T Tranter, M Agnaou, A Elkamel, J Gostick Computers & Chemical Engineering 123, 64-77, 2019 | 47 | 2019 |
Probing the structure-performance relationship of lithium-ion battery cathodes using pore-networks extracted from three-phase tomograms ZA Khan, PAG Salaberri, TMM Heenan, R Jervis, PR Shearing, D Brett, ... Journal of The Electrochemical Society 167 (4), 040528, 2020 | 32 | 2020 |
Predicting pemfc performance from a volumetric image of catalyst layer structure using pore network modeling MA Sadeghi, ZA Khan, M Agnaou, L Hu, S Litster, A Kongkanand, ... Applied Energy 353, 122004, 2024 | 18 | 2024 |
Efficient extraction of pore networks from massive tomograms via geometric domain decomposition ZA Khan, A Elkamel, JT Gostick Advances in Water Resources 145, 103734, 2020 | 16 | 2020 |
Pore network modelling of galvanostatic discharge behaviour of lithium-ion battery cathodes ZA Khan, M Agnaou, MA Sadeghi, A Elkamel, JT Gostick Journal of The Electrochemical Society 168 (7), 070534, 2021 | 13 | 2021 |
PoreSpy: A Python toolkit for quantitative analysis of porous media images, J. Open Source Softw., 4, 1296 JT Gostick, ZA Khan, TG Tranter, MDR Kok, M Agnaou, M Sadeghi, ... | 8 | 2019 |
PoreSpy: a python toolkit for quantitative analysis of porous media images. J. Open Source Softw. 4 (37), 1296 (2019) JT Gostick, ZA Khan, TG Tranter, MD Kok, M Agnaou, M Sadeghi, R Jervis | 6 | |
PoreSpy: a python toolkit for quantitative analysis of porous media images. J Open Source Softw 4 (37): 1296 J Gostick, Z Khan, T Tranter, M Kok, M Agnaou, M Sadeghi, R Jervis | 5 | 2019 |
PoreSpy: A python toolkit for quantitative analysis of porous media images. J Open Source Softw 2019; 4 (37): 1296 J Gostick, Z Khan, T Tranter, M Kok, M Agnaou, M Sadeghi, R Jervis | 5 | |
Multiphysics Modelling of Energy Storage Devices Using Pore Scale Approaches ZA Khan University of Waterloo, 2020 | 2 | 2020 |
On the Importance of Incorporating Structural Heterogeneity of Porous Electrodes in Li-Ion Battery Models: Pore Network Modelling a Way to Move Forward ZA Khan, JT Gostick ECS Meeting Abstracts 1 (2020), 322, 2020 | 1 | 2020 |
Synthesis and characterization of calcium deficient hydroxyapatite nanocrystals A Anwar, M Kazmi, ZA Khan, K Shahzad, S Hussain JOURNAL OF FACULTY OF ENGINEERING & TECHNOLOGY 23 (2), 101-109, 2016 | 1 | 2016 |
Beyond ALOHA-quickly predict accidental release of toxic chemicals using machine learning O Hassan, ZA Khan, M Irfan, MI Rashid Journal of Loss Prevention in the Process Industries 94, 105542, 2025 | | 2025 |
Effectiveness, feasibility and adaptations of non-pharmacological intervention for tobacco cessation delivered in the dental setting in LMICs: A Scoping review S Shehzad, Z Khan, BA Khan, Z Waheed, S Rasul, M Irfan OSF, 2024 | | 2024 |
Enhancing pore network extraction performance via seed-based pore region growing segmentation ZA Khan, JT Gostick Advances in Water Resources 183, 104591, 2024 | | 2024 |
Pore network modelling: A powerful tool for optimizing microbial oil recovery ZA Khan International conference on microbial enhanced oil and energy recovery …, 2023 | | 2023 |
Geometric domain decomposition for pore networks extraction from large tomograms ZA Khan 3rd International Conference on Physical Sciences and Engineering (ICPSE …, 2023 | | 2023 |
Simulation of lithium ion battery half cell using pore network modelling approach ZA Khan International conference on chemical engineering 1 (01), 17, 2022 | | 2022 |
Optimization of lithium Ion batteries using pore network modelling approach ZA Khan International Conference on Physical Sciences and Engineering 2021 1 (1), 2021 | | 2021 |