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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…