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SEM Image Processing Assisted by Deep Learning to Quantify Mesoporous γ-Alumina Spatial Heterogeneity and Its Predicted Impact on Mass TransferAn experimental flow regime map to dynamically structure gas-solid bubbling fluidized beds

This article is part of Virtual Special Issue on Machine Learning in Physical Chemistry (Volume 2). It resulted from a collaborative PhD project by (now Dr) Aleksandra Glowska working with Professor Marc-Olivier Coppens at the UCL Centre for Nature-Inspired Engineering…

Breakdown of phonon band theory in MgO

The vibrational spectra of crystals, on which many thermal and mechanical properties depend, are known to be highly structured at low temperatures, with all of the energy restricted to a set of surfaces in reciprocal spacetime, known as the phonon bands.…