… the applications, benefits, and limitations of the machine learning algorithms to crystallization
… This section outlines some popular machine learning algorithms applied to crystallization …

… the batch cooling crystallization processes. Efficient process … the modeling of batch cooling
crystallization based on online … for the batch cooling crystallization of potassium sulfate in …

… the crystallization kinetics of growth, nucleation, agglomeration, and breakage, which are in
turn heavily influenced by the crystallization … of things, artificial intelligence, and advanced …

… Furthermore, many systems of interest can crystallize into multiple polymorphs, with ice being
… structures that are not perfect, canonical versions of these enumerated crystalline motifs. …

… on the better application of the ML framework in the crystallization field. Xin et al. [26] …
algorithm training based on the ML approach for constructing models that predict the crystallization …

… artificial intelligence offers extraordinary potential for developing predictive, data-driven
morphology models. Here, machine learning algorithms … the morphology of crystallizing APIs, this …

… Batch CWM found recent applications in pharmaceutical crystallization for particle size
and … pioneering, qualitative studies on continuous, isothermal crystallization [19]. The high-shear …

… crystallization conditions which are invariant to the reaction type. The offered deep
learning-based method is trained to directly predict the solvent labels used in the crystallization …

… ’s eye view of artificial intelligence and machine learning, starting with a comprehensive …
been used to predict the chances of successful crystallization of a protein based on its sequence …

… of protein crystallization prediction based on statistical and machine-learning algorithms
with … Her research interests are artificial intelligence, intelligent system and bioinformatics. …