Issue 81, 2022

Data-driven efficient synthetic exploration of anionic lanthanide-based metal–organic frameworks

Abstract

The synthesis of lanthanide metal–organic frameworks with terephthalate (Ln-BDC-MOFs) was investigated using a data-driven approach. Visually mapping the previously reported synthetic conditions suggested the existence of unexplored search spaces for novel Ln-BDC-MOFs. By focusing on the unexplored chemical reaction space, we successfully synthesized a series of new anionic Ln-BDC-MOFs, KGF-15, which demonstrated potential as luminescent sensors for Cu2+ ions. This synthetic exploration approach can significantly reduce the experimental effort required to discover new materials.

Graphical abstract: Data-driven efficient synthetic exploration of anionic lanthanide-based metal–organic frameworks

Supplementary files

Article information

Article type
Communication
Submitted
09 ሴፕቴ 2022
Accepted
16 ሴፕቴ 2022
First published
16 ሴፕቴ 2022

Chem. Commun., 2022,58, 11426-11429

Data-driven efficient synthetic exploration of anionic lanthanide-based metal–organic frameworks

Y. Kitamura, Y. Nakamura, K. Sugimoto, H. Yoshikawa and D. Tanaka, Chem. Commun., 2022, 58, 11426 DOI: 10.1039/D2CC04985F

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