Artificial Intelligence in the Preparation of Scientific Articles
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.
Authors
- Aslan Yu. Tsivadze (ORCID: https://orcid.org/0000-0001-5601-440X)
- Aziz M. Muzafarov (ORCID: https://orcid.org/0000-0002-3050-3253)
- Alexander A. Yaroslavov (ORCID: https://orcid.org/0000-0003-1627-1270)
- I. P. Beletskaya (ORCID: https://orcid.org/0000-0001-9705-1434)
- Oleg Gerol'dovich Sinyashin (ORCID: https://orcid.org/0000-0002-2241-9764)
- Boris F. Myasoedov (ORCID: https://orcid.org/0000-0002-1400-0314)
- Vladimir K. Ivanov (ORCID: https://orcid.org/0000-0003-2343-2140)
- Ludmila B. Boinovich (ORCID: https://orcid.org/0000-0002-1423-695X)
- Stepan Nikolaevich Kalmykov (ORCID: https://orcid.org/0000-0002-2396-4561)
- Anton Lvovich Maximov (ORCID: https://orcid.org/0000-0001-9297-4950)
- Yulia G. Gorbunova (ORCID: https://orcid.org/0000-0002-2333-4033)
- Usein Memetovich Dzhemilev (ORCID: https://orcid.org/0000-0002-7992-6337)
- Andrey A. Voshkin (ORCID: https://orcid.org/0000-0002-7453-9477)
- Valentine P. Ananikov (ORCID: https://orcid.org/0000-0002-6447-557X)
- Mikhail Petrovich Egorov (ORCID: https://orcid.org/0000-0002-3161-3585)
- Valerii Ivanovich Bukhtiyarov (ORCID: https://orcid.org/0000-0003-4382-1207)
- И.Л. Еременко (ORCID: https://orcid.org/0000-0001-6861-1404)
- Vladimir P. Kolotov (ORCID: https://orcid.org/0000-0001-6262-9937)
- К. В. Григорович (ORCID: https://orcid.org/0000-0002-5669-4262)
- A. B. Yaroslavtsev (ORCID: https://orcid.org/0000-0001-8446-6198)
- Alexei R. Khokhlov (ORCID: https://orcid.org/0000-0002-7232-5475)
- A. A. Berlin (ORCID: https://orcid.org/0000-0001-5181-0028)
- Sergei Mikhailovich Aldoshin (ORCID: https://orcid.org/0000-0001-6143-0723)
- K. A. Solntsev
Institutions
- Skolkovo Institute of Science and Technology (RU)
- Russian Academy of Sciences (RU)
- Lomonosov Moscow State University (RU)
- Semenov Institute of Chemical Physics (RU)
- A. N. Nesmeyanov Institute of Organoelement Compounds (RU)
- Frumkin Institute of Physical Chemistry and Electrochemistry (RU)
- N.D. Zelinsky Institute of Organic Chemistry (RU)
- Kazan Scientific Center (RU)
- Boreskov Institute of Catalysis (RU)
- Baikov Institute of Metallurgy and Materials Science (RU)
- A.V. Topchiev Institute of Petrochemical Synthesis (RU)
- NS Kurnakova Institute of General and Inorganic Chemistry (RU)
- Institute of Problems of Chemical Physics (RU)
- A.E. Arbuzov Institute of Organic and Physical Chemistry (RU)
- V.I. Vernadsky Institute of Geochemistry and Analytical Chemistry (RU)
Publication Details
- Journal
- Russian Chemical Reviews
- Published
- 2026-09-30
- DOI
- https://doi.org/10.59761/rcr5247
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00