Bayesian optimization of the composition of the lanthanide metal–organic framework MIL-103 for white-light emission. Issue 4 (28th February 2023)

• Record Type: Journal Article
• Authors: Kitamura, Yu; Toshima, Hiroki; Inokuchi, Akihiro; Tanaka, Daisuke
• Is Part Of: Molecular Systems Design and Engineering. Volume 8:Issue 4(2023)
• Page Start: 431
• Page End: 435
• Publication Date: 2023-02-28
• Subjects: Chemistry -- Molecular aspects -- Periodicals; Chemical engineering -- Molecular aspects -- Periodicals; Nanotechnology -- Periodicals; 620.5
• DOI: 10.1039/d2me00277a
• Languages: English
• ISSNs: 2058-9689

Abstract

Abstract : To realize lanthanide metal–organic frameworks (Ln-MOFs) with white light emission, it is necessary to adjust their RGB composition. We adopted the Bayesian optimization technique to optimize the stoichiometric ratio of metal-salts in Ln-MOFs. Abstract : To realize lanthanide metal–organic frameworks (Ln-MOFs) with white light emission, it is necessary to adjust their RGB composition. We adopted the Bayesian optimization technique to optimize the stoichiometric ratio of metal-salts in Ln-MOFs. We successfully synthesized MIL-103 (Ln(BTB)(H2 O), H3 BTB = 1, 3, 5-tris(4-carboxyphenyl)benzene), which emits white light.