Emily Ford

Machine learning-based accelerated property prediction of two-phase materials using microstructural descriptors and finite element analysis

Emily Ford, Kailasnath Maneparambil, Subramaniam Rajan et al. · Computational Materials Science · 2021 · 97 citations

Natural Sciences, Materials Engineering, Materials Science +17

Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps

Emily Ford, Shankar Kailas, Kailasnath Maneparambil et al. · Construction and Building Materials · 2020 · 31 citations

Natural Sciences, Materials Engineering, Materials Science +16

Elucidating the nano-mechanical behavior of multi-component binders for ultra-high performance concrete

Emily Ford, Aashay Arora, Barzin Mobasher et al. · Construction and Building Materials · 2020 · 22 citations

Engineering, Materials Engineering, Materials Science +16

Transfer (machine) learning approaches coupled with target data augmentation to predict the mechanical properties of concrete

Emily Ford, Kailasnath Maneparambil, Aditya Kumar et al. · Machine Learning with Applications · 2022 · 21 citations · Full text

Computing, Materials Engineering, Materials Science +15