Physics-informed neural network surrogate for predicting hydration heat evolution profiles of Portland limestone cement (PLC)
- DOI
- 10.1016/j.dibe.2026.100949
- Published
- 2026-04
- Container
- Developments in the Built Environment
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dibe.2026.100949,
title = {Physics-informed neural network surrogate for predicting hydration heat evolution profiles of Portland limestone cement (PLC)},
author = {Sangyoung Han and Yerim Byun and Hyeyun Lee and Hyeon-Ji Kim and Taemin Heo and Hansol Jang and Tangwei Mi and Gyuyong Kim and Hyun-Do Yun and Otim Kelvin Kennedy and Dongho Jeon},
year = {2026},
journal = {Developments in the Built Environment},
doi = {10.1016/j.dibe.2026.100949},
url = {https://doi.org/10.1016/j.dibe.2026.100949}
}RIS
TY - JOUR TI - Physics-informed neural network surrogate for predicting hydration heat evolution profiles of Portland limestone cement (PLC) AU - Sangyoung Han AU - Yerim Byun AU - Hyeyun Lee AU - Hyeon-Ji Kim AU - Taemin Heo AU - Hansol Jang AU - Tangwei Mi AU - Gyuyong Kim AU - Hyun-Do Yun AU - Otim Kelvin Kennedy AU - Dongho Jeon PY - 2026 JO - Developments in the Built Environment DO - 10.1016/j.dibe.2026.100949 UR - https://doi.org/10.1016/j.dibe.2026.100949 ER -
APA
Han, S., Byun, Y., Lee, H., Kim, H., Heo, T., Jang, H., Mi, T., Kim, G., Yun, H., Kennedy, O. K., & Jeon, D. (2026). Physics-informed neural network surrogate for predicting hydration heat evolution profiles of Portland limestone cement (PLC). Developments in the Built Environment. https://doi.org/10.1016/j.dibe.2026.100949
Source records
- crossref · retrieved 2026-09-26T13:31:20.087Z