Data-driven inverse design for magnesium hydroxide precipitation: Coupling CFD–PBM with deep learning to control hexagonal platelets morphology formation and particle size distribution
Data-driven inverse design for magnesium hydroxide precipitation: Coupling CFD–PBM with deep learning to control hexagonal platelets morphology formation and particle size distribution
Antonello Raponi, Daniele Marchisio
Journal
Chemical Engineering Journal
Topics
Magnesium Oxide Properties and Applications
article
Data-driven inverse design for magnesium hydroxide precipitation: Coupling CFD–PBM with deep learning to control hexagonal platelets morphology formation and particle size distribution
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Data-driven inverse design for magnesium hydroxide precipitation: Coupling CFD–PBM with deep learning to control hexagonal platelets morphology formation and particle size distribution — Antonello Raponi, Daniele Marchisio · Chemical Engineering Journal (2026) | TGRS Research Map | TGRS