Machine learning modeling of the absorption properties of azobenzene molecules-Reference-Cited by-同舟云学术

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Machine learning modeling of the absorption properties of azobenzene molecules

Published:2023-06 Issue:1 Volume:1 Page:100002
ISSN:2949-7477
Container-title:Artificial Intelligence Chemistry
language:en
Short-container-title:Artificial Intelligence Chemistry

Author:

Stanev Valentin^ORCID,Maehashi Ryota,Ohta Yoshimi,Takeuchi Ichiro^ORCID

Publisher

Elsevier BV

Reference29 articles.

1. Photo-responsive carbon nanomaterials functionalized by azobenzene moieties: structures, properties and application;Feng;Nanoscale,2012

2. Azobenzene photoswitches for biomolecules;Beharry;Chem. Soci. Rev.,2011

3. The cis-form of azobenzene;Hartley;Nature,1937

4. Photoisomerization in different classes of azobenzene;Bandara;Chem. Soc. Rev.,2012

5. Ab initio calculation of the electronic spectrum of azobenzene dyes and its impact on the design of optical data storage materials;Åstrand;J. Am. Chem. Soc.,2000

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques;SSRN Electronic Journal;2023

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