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Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steels File

Jung, Im Doo , Shin, Da Seul , Kim, Doohee , Lee, Jungsub , Lee, Min Sik , Son, Hye Jin , Reddy, N.S. , Kim, Moobum , Moon, Seung Ki , Kim, Kyung Tae , et al

Article Issue Date2020-06 View156
Compressive Properties of Nanoporous Gold Through Nanoindentation: An Analytical Approach Based on the Expanding Cavity Model File

Kwon, Oh Min , Kim, Jiyeon , Lee, Jinwoo , Kim, Jong-hyoung , Ahn, Hee-Jun , Kim, Ju-Young , Kim, Young-Cheon , Kwon, Dongil

Article Issue Date2021-10 View161
Effect of admixtures on the yield stresses of cement pastes under high hydrostatic pressures File File

Yim, Hong Jae , Kim, Jae Hong , Kwon, Seung Hee

Article Issue Date2016-03 View114
Impact of accelerator on rheological properties of cement composites with cellulose microfibers: 3D printing perspective File

Cho, Eunsan , Gwon, Seongwoo , Cha, Soowon , Shin, Myoungsu

Article Issue Date2025-07 View109
Prediction of the yield stress of concrete considering the thickness of excess paste layer File

Lee, Jin Hyun , Kim, Jae Hong , Yoon, Jin Young

Article Issue Date2018-06 View95
Rheological properties considering the effect of aggregates on concrete slump flow File

Shin, Tae Yong , Kim, Jae Hong , Han, Seong Ho

Article Issue Date2017-12 View112
Rheological properties of modified sulfur polymer composites containing cement-fly ash blend at different temperatures File

Gwon, Seongwoo , Shin, Myoungsu

Article Issue Date2019-12 View119
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