Materials process informatics-assisted precise particle size control of metal–organic frameworks

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Authors: YUAN WANG, Heng Liu, Yusuke Hashimoto, Kazuyuki Iwase, Hui Li, Takaaki Tomai
Cited by: 1
References: 51

Abstract

) of 0.90 on the test set. Furthermore, SHapley Additive exPlanations (SHAP) analysis identified the precursor concentration ratio and reaction time as the most influential parameters governing particle size. Experimental validation using an automated synthesis platform showed excellent agreement between predicted and measured particle sizes, confirming the model's robustness and predictive reliability. Overall, the proposed framework enables intelligent synthesis optimization and targeted experimental design, thereby providing a practical route toward controllable MOF synthesis. This work demonstrates how materials process informatics can shift MOF particle-size engineering from empirical optimization toward data-driven design, offering a broadly applicable strategy for advanced materials synthesis.

Fields of Study & Subjects

Metal-Organic Frameworks: Synthesis and Applications Zeolite Catalysis and Synthesis Mesoporous Materials and Catalysis

Publication details

Journal / source
Chemical Science
Publisher
Royal Society of Chemistry (RSC)
Volume
17
Issue
31
Pages
15034–15043
Publication date
1 January 2026
Language
EN