The role of deep learning in reducing computational cost when simulating chloride ion attack on hydrated calcium silicate with molecular dynamics

Wang, Tongfang; Cao, Jie; Guo, Tong; Tu, Yongming; Wang, Chao; Sas, Gabriel; Elfgren, Lennart

doi:10.1016/j.conbuildmat.2024.135257

Construction and Building Materials

2024

DOI: 10.1016/j.conbuildmat.2024.135257

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The role of deep learning in reducing computational cost when simulating chloride ion attack on hydrated calcium silicate with molecular dynamics

Tongfang Wang,

Jie Cao,

Tong Guo

et al.

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Structural properties and mechanical responses of geopolymer pore models under chloride exposure: Molecular dynamics simulation

Wang,

Jiang,

Guo

et al. 2024

Journal of Building Engineering

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Structural properties and mechanical responses of geopolymer pore models under chloride exposure: Molecular dynamics simulation

Wang,

Jiang,

Guo

et al. 2024

Journal of Building Engineering

View full text Add to dashboard Cite

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The role of deep learning in reducing computational cost when simulating chloride ion attack on hydrated calcium silicate with molecular dynamics

Cited by 1 publication

References 37 publications

Structural properties and mechanical responses of geopolymer pore models under chloride exposure: Molecular dynamics simulation

Structural properties and mechanical responses of geopolymer pore models under chloride exposure: Molecular dynamics simulation

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