Kunning Tang

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	All	Since 2018
Citations	20	20
h-index	3	3
i10-index	0	0

2022202312 8

Co-authors

Ryan T. ArmstrongUniversity of New South WalesVerified email at unsw.edu.au
Peyman MostaghimiUniversity of New South WalesVerified email at imperial.ac.uk
Ying Da WangUniversity of New South WalesVerified email at unsw.edu.au
James E. McClureResearch Associate Professor, Virginia Tech National Security InstituteVerified email at vt.edu
Quentin MeyerFuel Cell Cluster Leader, Nanoelectrochemistry group, University of New South WalesVerified email at unsw.edu.au
Klaus Regenauer-LiebChair Research Management Minerals and Energy Resources UNSW AustraliaVerified email at unsw.edu.au
Yufu NiuCSIRO Mineral Resources | University of New South WalesVerified email at csiro.au
Mark knackstedtApplied Maths, Australian National University
Zhe LiDepartment of Electronic Materials Engineering - ANUVerified email at anu.edu.au

Kunning Tang

University of New South Wales

Verified email at ad.unsw.edu.au

Digital Rock Physical Image Processing Deep Learning Energy Materials Minerals


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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	7	2022
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	7	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	4	2022
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	2	2022
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		2023
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		2023
Multi-scale modelling of multi-physics flow in coal seams Z Lanetc, A Zhuravljov, K Tang, R Armstrong, P Mostaghimi Available at SSRN 4298771, 2022		2022

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