214 citations · 229 across the 4 of their papers we have counts for
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cond-mat.soft2023★ 1 cited
Transfer Learning Facilitates the Prediction of Polymer-Surface Adhesion Strength
Jiale Shi, Fahed Albreiki, Yamil J. Colón +2
Machine learning (ML) accelerates the exploration of material properties and their links to the structure of the underlying molecules. In previous work [J. Shi, M. J. Quevillon, P.…
cond-mat.soft2021★ 9 cited
Predicting Adhesive Free Energies of Polymer--Surface Interactions with Machine Learning
Jiale Shi, Michael J. Quevillon, Pedro H. Amorim Valença +1
Polymer-surface interactions are crucial to many biological processes and industrial applications. Here we propose a machine-learning method to connect a model polymer's sequence w…