Bayesian optimization of the composition of the lanthanide metal–organic framework MIL-103 for white-light emission†

IF 3.2 3区 工程技术 Q2 CHEMISTRY, PHYSICAL Molecular Systems Design & Engineering Pub Date : 2023-02-14 DOI:10.1039/D2ME00277A
Yu Kitamura, Hiroki Toshima, Akihiro Inokuchi and Daisuke Tanaka
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引用次数: 1

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)(H2O), H3BTB = 1,3,5-tris(4-carboxyphenyl)benzene), which emits white light.

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白光发射镧系金属-有机骨架MIL-103组成的贝叶斯优化
为了实现具有白光发射的镧系金属有机骨架(mn - mofs),需要对其RGB组成进行调整。我们采用贝叶斯优化技术优化了ln - mof中金属盐的化学计量比。我们成功合成了MIL-103 (Ln(BTB)(H2O), H3BTB = 1,3,5-三(4-羧基苯基)苯),发出白光。
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来源期刊
Molecular Systems Design & Engineering
Molecular Systems Design & Engineering Engineering-Biomedical Engineering
CiteScore
6.40
自引率
2.80%
发文量
144
期刊介绍: Molecular Systems Design & Engineering provides a hub for cutting-edge research into how understanding of molecular properties, behaviour and interactions can be used to design and assemble better materials, systems, and processes to achieve specific functions. These may have applications of technological significance and help address global challenges.
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