Wil V. Srubar

Machine learning in concrete science: applications, challenges, and best practices

Zhanzhao Li, Jinyoung Yoon, Rui Zhang et al. · npj Computational Materials · 2022 · 293 citations · Full text

Biomineralization and Successive Regeneration of Engineered Living Building Materials

Chelsea M. Heveran, Sarah Williams, Jishen Qiu et al. · Matter · 2020 · 209 citations · Full text

Biochar-immobilized bacteria and superabsorbent polymers enable self-healing of fiber-reinforced concrete after multiple damage cycles

Harn Wei Kua, Souradeep Gupta, Anastasia N. Aday et al. · Cement and Concrete Composites · 2019 · 192 citations

Biochar-immobilized Bacteria, Engineering, Self-healing Material +9

A comparison of machine learning methods for predicting the compressive strength of field-placed concrete

M.A. DeRousseau, Emil Laftchiev, Joseph Kasprzyk et al. · Construction and Building Materials · 2019 · 182 citations

Engineering, Machine Learning, Data Science +10

Energy performance analysis of variable thermal resistance envelopes in residential buildings

Benjamin Park, Wil V. Srubar, Moncef Krarti · Energy and Buildings · 2015 · 142 citations

Building Envelopes, Engineering, Energy Refurbishment +9