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 · 325 citations · Full text

Architecture, Building Science, Civil Engineering +17

Biomineralization and Successive Regeneration of Engineered Living Building Materials

Chelsea M. Heveran, Sarah Williams, Jishen Qiu et al. · Matter · 2020 · 217 citations · Full text

Life Sciences, Bioengineering, Biotechnology +17

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 · 198 citations

Natural Sciences, Materials Engineering, Materials Science +17

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 · 196 citations

Architecture, Civil Engineering, Materials Engineering +14

Energy performance analysis of variable thermal resistance envelopes in residential buildings

Benjamin Park, Wil V. Srubar, Moncef Krarti · Energy and Buildings · 2015 · 146 citations

Architecture, Architectural Engineering, Building Science +16