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Artificial Intelligence in the Preparation of Scientific Articles

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Konstantin A. Solntsev 9
Konstantin A. Solntsev
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Published 19 October 2026 , received 14 June 2026
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Aldoshin S. M. et al. Artificial Intelligence in the Preparation of Scientific Articles // Russian Chemical Reviews. 2026. RCR5247
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Aldoshin S. M., Ananikov V. P., Beletskaya I. P., Berlin A. A., Boinovich L. B., Bukhtiyarov V. I., Voshkin A. A., Gorbunova Y. G., Grigorovich K. V., Dzhemilev U. M., Egorov M. P., Eremenko I. L., Ivanov V. K., Kalmykov S. N., Kolotov V. P., Maximov A. L., Muzafarov A. M., Myasoedov B. F., Sinyashin O. G., Solntsev K. A., Khokhlov A. R., Tsivadze A. Y., Yaroslavov A. A., Yaroslavtsev A. B. Artificial Intelligence in the Preparation of Scientific Articles // Russian Chemical Reviews. 2026. RCR5247
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TY - JOUR
DO - 10.59761/RCR5247
UR - https://rcr.colab.ws/publications/10.59761/RCR5247
TI - Artificial Intelligence in the Preparation of Scientific Articles
T2 - Russian Chemical Reviews
AU - Aldoshin, Sergey M.
AU - Ananikov, Valentine P.
AU - Beletskaya, Irina P.
AU - Berlin, Aleksandr A.
AU - Boinovich, Ludmila B.
AU - Bukhtiyarov, Valerii I.
AU - Voshkin, Andrey A.
AU - Gorbunova, Yuliya G.
AU - Grigorovich, Konstantin V.
AU - Dzhemilev, Usein M.
AU - Egorov, Mikhail P.
AU - Eremenko, Igor L.
AU - Ivanov, Vladimir K.
AU - Kalmykov, Stepan N.
AU - Kolotov, Vladimir P.
AU - Maximov, Anton L.
AU - Muzafarov, Aziz M.
AU - Myasoedov, Boris F.
AU - Sinyashin, Oleg G.
AU - Solntsev, Konstantin A.
AU - Khokhlov, Alexei R.
AU - Tsivadze, Aslan Yu.
AU - Yaroslavov, Alexander A.
AU - Yaroslavtsev, Andrey B.
PY - 2026
DA - 2026/10/19
PB - ANO Editorial Board of the journal Uspekhi Khimii
SP - RCR5247
ER -
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@article{2026_Aldoshin,
author = {Sergey M. Aldoshin and Valentine P. Ananikov and Irina P. Beletskaya and Aleksandr A. Berlin and Ludmila B. Boinovich and Valerii I. Bukhtiyarov and Andrey A. Voshkin and Yuliya G. Gorbunova and Konstantin V. Grigorovich and Usein M. Dzhemilev and Mikhail P. Egorov and Igor L. Eremenko and Vladimir K. Ivanov and Stepan N. Kalmykov and Vladimir P. Kolotov and Anton L. Maximov and Aziz M. Muzafarov and Boris F. Myasoedov and Oleg G. Sinyashin and Konstantin A. Solntsev and Alexei R. Khokhlov and Aslan Yu. Tsivadze and Alexander A. Yaroslavov and Andrey B. Yaroslavtsev},
title = {Artificial Intelligence in the Preparation of Scientific Articles},
journal = {Russian Chemical Reviews},
year = {2026},
publisher = {ANO Editorial Board of the journal Uspekhi Khimii},
month = {Oct},
url = {https://rcr.colab.ws/publications/10.59761/RCR5247},
doi = {10.59761/RCR5247}
}
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Keywords

AI use disclosure
artificial intelligence
authorship
chemistry journal
editorial ethics
large language models
reliability
scientific publications
text originality
VALENCE

Abstract

The use of artificial intelligence (AI) tools in the preparation of scientific publications has become an integral part of research practice. Large language models assist in translating and editing texts, structuring articles, drafting abstracts, adapting manuscripts to journal requirements, and accelerating preliminary literature reviews, among other useful functions. However, the technical utility of the tool does not alter the fundamental principle: a scientific article remains the product of a researcher's work, for which they bear responsibility. AI cannot be recognized as a co-author, nor can it be held accountable for data authenticity, the correctness of chemical nomenclature, the logic of the presentation, the completeness of citations, or the validity of conclusions. This article presents the position of Editors-in-Chief and Editorial Board members from several Russian chemistry journals regarding the use of AI in preparing scientific publications. To practically regulate the use of AI in scientific article preparation, the VALENCE set of rules is proposed, in alignment with international publishing practices.

Bibliography includes 42 references.

References

2.
V. P. Ananikov
Chemistry Today, 2024
19.
Nonhuman “Authors” and Implications for the Integrity of Scientific Publication and Medical Knowledge
Flanagin A., Bibbins-Domingo K., Berkwits M., Christiansen S.L.
JAMA - Journal of the American Medical Association, 2023
21.
Accelerated Chemical Science with AI
Back S., Aspuru-Guzik A., Ceriotti M., Gryn'ova G., Grzybowski B.A., Gu G.H., Hein J.E., Hippalgaonkar K., Hormazabal R., Jung Y., Kim S., Kim W.Y., Moosavi M., Noh J., Park C., et. al.
Digital Discovery, 2024
22.
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
Zheng Z., Zhang O., Borgs C., Chayes J.T., Yaghi O.M.
Journal of the American Chemical Society, 2023
23.
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Jablonka K.M., Ai Q., Al-Feghali A., Badhwar S., Bocarsly J.D., Bran A.M., Bringuier S., Brinson L.C., Choudhary K., Circi D., Cox S., de Jong W., Evans M., Gastellu N., Genzling J., et. al.
Digital Discovery, 2023
24.
A review of large language models and autonomous agents in chemistry
Ramos M.C., Collison C.J., White A.D.
Chemical Science, 2025
25.
Autonomous chemical research with large language models
Boiko D.A., MacKnight R., Kline B., Gomes G.
Nature, 2023
26.
Designing Chemical Reaction Arrays Using Phactor and ChatGPT
Mahjour B., Hoffstadt J., Cernak T.
Organic Process Research and Development, 2023
27.
What can Large Language Models do in chemistry? A comprehensive
  benchmark on eight tasks
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
ArXiv, 2023
28.
Top 20 Influential AI-Based Technologies in Chemistry
Ananikov V.P.
Artificial Intelligence Chemistry, 2024
29.
V.P.Ananikov. Vestn. RAS, 95 (4), 35 (2025)
30.
V.P.Ananikov. Additiv. Tekhnol., 3, 10 (2025)
31.
Responsible use of Generative AI in chemical engineering
Daniel T., Xuan J.
Digital Chemical Engineering, 2024
34.
AI in Chemical Engineering – We Are Just at the Beginning
Bortz M., Dadhe K., Mitsos A.
Chemie-Ingenieur-Technik, 2021
35.
Toniato Alessandra, Schilter Oliver, Laino Teodoro
Chimia, 2023
36.
How to Leverage AI to Benefit the Chemical Industry
38.
Testing of detection tools for AI-generated text
Weber-Wulff D., Anohina-Naumeca A., Bjelobaba S., Foltýnek T., Guerrero-Dib J., Popoola O., Šigut P., Waddington L.
International Journal for Educational Integrity, 2023
39.
Can AI-Generated Text be Reliably Detected?
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi
ArXiv, 2023
42.
Academic journals’ AI policies fail to curb the surge in AI-assisted academic writing
He Y., Bu Y.
Proceedings of the National Academy of Sciences of the United States of America, 2026