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Active learning in Gaussian process interpolation of potential energy surfaces (2018)
Journal Article
Uteva, E., Graham, R. S., Wilkinson, R. D., & Wheatley, R. J. (2018). Active learning in Gaussian process interpolation of potential energy surfaces. Journal of Chemical Physics, 149(17), 174114. https://doi.org/10.1063/1.5051772

© 2018 Author(s). Three active learning schemes are used to generate training data for Gaussian process interpolation of intermolecular potential energy surfaces. These schemes aim to achieve the lowest predictive error using the fewest points and th... Read More about Active learning in Gaussian process interpolation of potential energy surfaces.

Modelling flow-enhanced crystallisation during fused filament fabrication of semi-crystalline polymer melts (2018)
Journal Article
McIlroy, C., & Graham, R. (2018). Modelling flow-enhanced crystallisation during fused filament fabrication of semi-crystalline polymer melts. Additive Manufacturing, 24, 323-340. https://doi.org/10.1016/j.addma.2018.10.018

Achieving better control in fused filament fabrication (FFF) relies on a molecular understanding of how thermoplastic printing materials behave during the printing process. For semi-crystalline polymers, the ultimate crystal morphology and how it dev... Read More about Modelling flow-enhanced crystallisation during fused filament fabrication of semi-crystalline polymer melts.