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Junlin Lin
Junlin Lin
Verified email at monash.edu
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Cited by
Cited by
Year
Dispersion of graphene oxide–silica nanohybrids in alkaline environment for improving ordinary Portland cement composites
J Lin, E Shamsaei, FB de Souza, K Sagoe-Crentsil, WH Duan
Cement and Concrete Composites 106, 103488, 2020
432020
The effects of graphene oxide-silica nanohybrids on the workability, hydration, and mechanical properties of Portland cement paste
R Mowlaei, J Lin, FB de Souza, A Fouladi, AH Korayem, E Shamsaei, ...
Construction and Building Materials 266, 121016, 2021
252021
Transformation of pore structure in consolidated silty clay: New insights from quantitative pore profile analysis
Y Hu, YA Li, CK Ruan, JL Lin, SJ Chen, HM Tang, WH Duan
Construction and Building Materials 186, 615-625, 2018
202018
Dispersion of silane-functionalized GO and its reinforcing effects in cement composites
HD Nguyen, Q Zhang, J Lin, K Sagoe-Crentsil, W Duan
Journal of Building Engineering 43, 103228, 2021
52021
Effect of graphene oxide on the pore structure of cement paste: implications for performance enhancement
C Ruan, J Lin, S Chen, K Sagoe-Crentsil, W Duan
ACS Applied Nano Materials 4 (10), 10623-10633, 2021
52021
Towards microstructure-based analysis and design for seepage water in underground engineering: Effect of image characteristics
Y Hu, YA Li, JL Lin, CK Ruan, SJ Chen, HM Tang, WH Duan
Tunnelling and Underground Space Technology 93, 103086, 2019
52019
Microstructure of graphene oxide–silica-reinforced OPC composites: Image-based characterization and nano-identification through deep learning
J Lin, Y Liu, H Sui, K Sagoe-Crentsil, W Duan
Cement and Concrete Research 154, 106737, 2022
42022
Mechanisms of dispersion of nanoparticle-decorated graphene oxide nanosheets in aqueous media: Experimental and molecular dynamics simulation study
J Lin, X Yao, FB de Souza, K Sagoe-Crentsil, W Duan
Carbon 184, 689-697, 2021
32021
Transregional spatial correlation revealed by deep learning and implications for material characterisation and reconstruction
J Lin, S Chen, W Wang, CSN Pathirage, L Li, K Sagoe-Crentsil, W Duan
Materials Characterization 178, 111268, 2021
32021
Prediction of clogging in stormwater filters using artificial neural network
J Lin, H Kandra, TA Choudhury, A Barton
2018 IEEE 27th International Symposium on Industrial Electronics (ISIE), 771-776, 2018
32018
Development of hybrid machine learning-based carbonation models with weighting function
Z Chen, J Lin, K Sagoe-Crentsil, W Duan
Construction and Building Materials 321, 126359, 2022
22022
Effective strategies to realize high-performance graphene-reinforced cement composites
FB de Souza, X Yao, J Lin, Z Naseem, ZQ Tang, Y Hu, W Gao, ...
Construction and Building Materials 324, 126636, 2022
12022
Role of nanofillers for high mechanical performance cementitious composites
X Yao, Y Liu, W Wang, H Nguyen, J Lin, K Sagoe-Crentsil, W Duan
Construction and Building Materials 322, 126489, 2022
12022
Revealing Microstructural Modifications of Graphene Oxide-Modified Cement via Deep Learning and Nanoporosity Mapping: Implications for Structural Materials’ Performance
W Wang, SJ Chen, W Duan, K Sagoe-Crentsil, CSN Pathirage, L Li, J Lin
ACS Applied Nano Materials 5 (5), 7092-7102, 2022
2022
Revealing nanomaterial modifications in highly disordered microstructures via deep learning
W Wang, SJ Chen, W Duan, K Sagoe-Crentsil, CSN Pathirage, L Li, J Lin
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