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Kunning Tang
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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
822023
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
252022
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
222022
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
222022
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
192023
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 67, 103298, 2024
142024
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
122023
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
72023
Efficient energy generation from a sweat-powered, wearable, MXene-based hydroelectric nanogenerator
H Su, KAS Usman, A Nilghaz, Y Bu, K Tang, L Dai, D Liu, JM Razal, W Lei, ...
Device 2 (5), 2024
52024
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
52024
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
52023
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
52022
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, ...
Physics of Fluids 36 (6), 2024
12024
Insights into hydroelectric nanogenerators: numerical simulation and experimental verification
H Su, A Nilghaz, K Tang, D Liu, S Zhao, J Tian, Y Bu, J Li
Journal of Materials Chemistry A 12 (36), 24409-24416, 2024
12024
High-performance zinc anodes enabled by atmospheric plasma enhanced cellulose protective layer for zinc ion batteries
J Cao, Z Wang, Z Yang, K Tang, S Wang, W Lei, D Liu
Journal of Power Sources 627, 235699, 2025
2025
Electrocatalytic and Photocatalytic N2 Fixation Using Carbon Catalysts
C Xu, H Su, S Zhao, A Nilghaz, K Tang, L Ma, Z Zou
Nanomaterials 15 (1), 65, 2025
2025
From Surface to Volume: Deep Learning-Driven 3D Realisation of Super-Large 2D SEM Images for Material Characterisation
K Tang, Y Da Wang, M Regaieg, G Borisochev, I Jolivet, R Armstrong, ...
Available at SSRN 4939600, 2024
2024
Bayesian linear regression with Gaussian mixture likelihood for outlier detection of metal grades in Porphyry Cu deposit
Y NIU, M Lindsay, R Scalzo, L Zhang, K Tang
Authorea Preprints, 2024
2024
Scaling Deep Learning for Material Imaging: A Pseudo-3d Model for Tera-Scale 3d Domain Transfer
K Tang, R Armstrong, P Mostaghimi, Y Niu, Q Meyer, C Zhao, D Finegan, ...
Available at SSRN 4808378, 2024
2024
Insights into hydroelectric nanogenerators
H Su, A Nilghaz, K Tang, D Liu, S Zhao, J Tian, Y Bu, J Li
2024
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