- PII
- S0869587325040079-1
- DOI
- 10.31857/S0869587325040079
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume / Issue number 4
- Pages
- 35-38
- Abstract
- The article considers the problems and prospects of digitalization of chemical processes and technologies on the background of the global chemical landscape. Special attention is paid to such issues as low speed of data processing, the problem of lost data, knowledge transfer in micro- and low-tonnage chemistry technologies, and the digital cycle of chemical reaction production. Key areas are the application of specialized digital algorithms needed to solve specific problems in chemistry, accelerating data analysis, automating chemical research, creating new approaches to design materials for catalysis, and developing digital tools for science and educational programs. Important practical application is the use of artificial intelligence for scaling of chemical processes and technology transfer into industrial solutions.
- Keywords
- химия материаловедение цифровизация химических процессов и технологий обработка данных спящие и потерянные данные цифровой цикл проектирования химических реакторов микро- и малотоннажная химия
- Date of publication
- 10.04.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 19
References
- 1. Анаников В.П., Белецкая И.П., Максимов А.Л. и др. Микротоннажная и малотоннажная химия // Химический эксперт. 2024. № 4 (12). C. 24-31. http://zioc.ru/preprint.012024v1
- 2. Ananikov V.P., Beletskaya I.P., Maksimov A.L., et al. Microtonnage and low-tonnage chemistry // Chemical expert. 2024, no. 4 (12), pp. 24-31. http://zioc.ru/preprint.012024v1
- 3. Eremin D.B., Galushko A.S., Boiko D.A. et al. Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles // J. Am. Chem. Soc. 2022, vol. 144, no. 13, pp. 6071-6079. https://doi.org/10.1021/jacs.2c01283
- 4. Galushko A.S., Boiko D.A., Pentsak E.O. et al. Time-Resolved Formation and Operation Maps of Pd Catalysts Suggest a Key Role of Single Atom Centers in Cross-Coupling // J. Am. Chem. Soc. 2023, vol. 145, no. 16, pp. 9092-9103. https://doi.org/10.1021/jacs.3c00645
- 5. Ananikov V.P. Top 20 influential AI-based technologies in chemistry // Art.Int.Chem. 2024, no. 2(2), 100075. https://doi.org/10.1016/j.aichem.2024.100075
