Crystallization Processes and Simulation Calculations, Fourth Edition

Dear Colleagues,

Following the remarkable success of the previous editions of this topic, entitled “Crystallization Process and Simulation Calculation” (https://www.mdpi.com/journal/crystals/special_issues/crystallization_process2; https://www.mdpi.com/journal/crystals/special_issues/9LVS3K8K6Q; https://www.mdpi.com/journal/crystals/special_issues/23EZ8T6N09), we are pleased to announce the fourth edition.

The inherent challenges of strong coupling, nonlinearity, and large lagging in crystallization processes make designing robust, well-characterized processes for high-quality products demanding. The development of process analytical technology (PAT) for rapid, accurate inline/online measurements, alongside simulation technologies (e.g., molecular dynamics, hydrodynamics), provides multiscale insights. The integration of artificial intelligence (AI) and machine learning (ML) also offers powerful new approaches for process design and control, enabling advanced modeling, optimization, and real-time decision-making. These combined experimental, simulation, and AI/ML tools offer innovative strategies for designing and controlling crystallization processes, enabling the production of products with target quality attributes and predictable performance.

This Special Issue, titled “Crystallization Processes and Simulation Calculations, Fourth Edition”, serves to provide a platform for researchers to report results and findings regarding AI-enhanced crystallization process technologies, simulation and process analytical technologies, and relevant crystallization studies.

Dr. Mingyang Chen
Prof. Dr. Jinbo Ouyang
Dr. Mingxuan Li
Guest Editors

Manuscript Submission Information

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