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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
572023
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
202022
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
192022
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
172022
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
122023
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
102023
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
62023
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
52024
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
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
42023
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
32024
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
22024
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
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
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: 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
2024
Applications of Deep Convolutional Neural Networks for Energy-based Materials Characterization on Digital Images
K Tang
UNSW Sydney, 2023
2023
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Articles 1–18