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RESEARCH PAPER · Particuology · 2026

Recent advances in the digital transformation of crystallization process development and operation: Synergy between model- and AI-driven strategies

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Recent advances in the digital transformation of crystallization process development and operation: Synergy between model- and AI-driven strategiesOriginalFunctional slow feature analysis based in-situ monitoring of crystallization process via near-infrared spectrum0Comprehensive Framework for Model Discovery and Discrimination Based on Symbolic Regression and Structural Identifiability - Application to a Partially Observed Chemical Reaction System0Machine Learning-Assisted Multi-PAT Data Fusion for Physics Consistent Crystallization Monitoring0Integrating Bayesian Optimization for Enhancing Parameter Estimation Workflows for Modeling Crystallization Processes0

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  1. Functional slow feature analysis based in-situ monitoring of crystallization process via near-infrared spectrum

    Process Safety and Environmental Protection · 2026-04-03

    J. S. Liu, Shihao Song, Zhiheng Cui, Deshun Sun

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  2. Comprehensive Framework for Model Discovery and Discrimination Based on Symbolic Regression and Structural Identifiability - Application to a Partially Observed Chemical Reaction System

    Systems and Control Transactions · 2026-06-19

    Xuming Yuan, Brahim Benyahia

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  3. Machine Learning-Assisted Multi-PAT Data Fusion for Physics Consistent Crystallization Monitoring

    Systems and Control Transactions · 2026-06-19

    Yiming Ma, Xuming Yuan, Brahim Benyahia

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  4. Integrating Bayesian Optimization for Enhancing Parameter Estimation Workflows for Modeling Crystallization Processes

    Industrial & Engineering Chemistry Research · 2026-08-12

    Yash Barhate, Zoltan Kalman Nagy

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