Neural Network-Based Kinetic Model for Antisolvent Crystallization of Benzophenone: Construction, Validation, and Mechanistic Interpretation

• Published in: Crystals (Basel) Vol. 15; no. 5; p. 464
• Main Authors: Dong, Yafei, Xuanyuan, Shutian, Xie, Chuang, Sun, Ying, Zhou, Xiaomeng, Wang, Yuanhang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: antisolvent crystallization kinetics; Artificial neural networks; Crystallization; Crystals; Datasets; Kinetics; Morphology; neural network; Neural networks; Particle size; population balance equation; Predictions; process analytical technology; Robustness; Size distribution; Solvents; Spectrum analysis; Temperature effects; China; Tianjin China

The emergence of artificial neural networks and the widespread application of process analytical technology (PAT) have founded a robust foundation for neural network applications in crystallization research. This study investigated benzophenone antisolvent crystallization kinetics through online mon...