| Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning YD Wang, Q Meyer, K Tang, JE McClure, RT White, ST Kelly, ... Nature Communications 14 (1), 745, 2023 | 30 | 2023 |
| 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 K Tang, Y Da Wang, J McClure, C Chen, P Mostaghimi, RT Armstrong Physical Review Applied 17 (3), 034048, 2022 | 16 | 2022 |
| Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells K Tang, Q Meyer, R White, RT Armstrong, P Mostaghimi, Y Da Wang, ... Computers & Chemical Engineering 161, 107768, 2022 | 15 | 2022 |
| Deep convolutional neural network for 3D mineral identification and liberation analysis Kunning Tang,Ying Da Wang,Peyman Mostaghimi,Mark Knackstedt, Chad Hargrave ... Minerals Engineering 183, 107592, 2022 | 12 | 2022 |
| Particle classification of iron ore sinter green bed mixtures by 3D X-ray microcomputed tomography and machine learning K Tang, Y Da Wang, Y Niu, TA Honeyands, D O’Dea, P Mostaghimi, ... Powder Technology 415, 118151, 2023 | 6 | 2023 |
| Harnessing the power of water: A review of hydroelectric nanogenerators H Su, A Nilghaz, D Liu, L Dai, J Tian, JM Razal, K Tang, J Li Nano Energy, 108819, 2023 | 5 | 2023 |
| A pore-scale model for electrokinetic in situ recovery of copper: the Influence of mineral occurrence, zeta potential, and electric potential K Tang, Z Li, Y Da Wang, J McClure, H Su, P Mostaghimi, RT Armstrong Transport in Porous Media 150 (3), 601-626, 2023 | 4 | 2023 |
| Multi-scale modelling of multi-physics flow in coal seams Z Lanetc, A Zhuravljov, K Tang, RT Armstrong, P Mostaghimi Gas Science and Engineering 118, 205081, 2023 | 3 | 2023 |
| Dynamic X-ray micotomography of microfibrous cellulose liquid foams using deep learning SR Muin, PT Spicer, K Tang, Y Niu, M Hosseini, P Mostaghimi, ... Chemical Engineering Science 248, 117173, 2022 | 3 | 2022 |
| In situ characterization of heterogeneous surface wetting in porous materials Y Da Wang, L Kearney, MJ Blunt, C Sun, K Tang, P Mostaghimi, ... Advances in Colloid and Interface Science, 103122, 2024 | | 2024 |
| Dendrite-Free Zinc Deposition Enabled by MXene/Nylon Scaffold and Polydopamine Solid-Electrolyte Interphase for Flexible Zinc-ion Batteries Z Wang, P Zhang, J Zhang, K Tang, J Cao, Z Yang, S Qin, JM Razal, ... Energy Storage Materials, 103298, 2024 | | 2024 |
| Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System K Tang, Z Bo, Z Li, Y Da Wang, J McClure, H Su, P Mostaghimi, ... arXiv preprint arXiv:2308.04668, 2023 | | 2023 |
| Applications of Deep Convolutional Neural Networks for Energy-based Materials Characterization on Digital Images K Tang UNSW Sydney, 2023 | | 2023 |
Ryan T. ArmstrongProfessor, University of New South WalesVerified email at unsw.edu.au
