<i>De novo</i> creation of fluorescent molecules <i>via</i> adversarial generative modeling-Reference-Cited by-同舟云学术

De novo creation of fluorescent molecules via adversarial generative modeling

Published:2023 Issue:2 Volume:13 Page:1031-1040
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Tan Zheng¹,Li Yan²,Wu Xin³,Zhang Ziying⁴,Shi Weimei²^ORCID,Yang Shiqing²,Zhang Wanli¹

Affiliation:

1. State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, 610054, P. R. China

2. Chengdu Polytechnic, 83 Tianyi Street, Chengdu, 610000, P. R. China

3. Xiyuan Quantitative Technology, 388 Yizhou Road, Chengdu, 610000, P. R. China

4. Guangzhou Yinfo Information Technology, 2 Ruyi Road, Panyu District, Guangzhou, 511431, P. R. China

Abstract

The development of AI for fluorescent materials design is technologically demanding due to the issue of accurately forecasting fluorescent properties.

Funder

Chengdu Science and Technology Program

Sichuan Province Science and Technology Support Program

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D2RA07008A

Reference41 articles.

1. Coumarin-Based Small-Molecule Fluorescent Chemosensors

2. A novel 1,8-naphthalimide derivative with an open space for an anion: unique fluorescence behaviour depending on the binding anion's electrophilic properties

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4. Anion sensing by small molecules and molecular ensembles

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