Open Access
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volume 2 issue 2 pages 100075

Top 20 Influential AI-Based Technologies in Chemistry

Publication typeJournal Article
Publication date2024-12-01
SJR
CiteScore
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ISSN29497477
Abstract
The beginning and ripening of digital chemistry is analyzed focusing on the role of artificial intelligence (AI) in an expected leap in chemical sciences to bring this area to the next evolutionary level. The analytic description selects and highlights the top 20 AI-based technologies and 7 broader themes that are reshaping the field. It underscores the integration of digital tools such as machine learning, big data, digital twins, the Internet of Things (IoT), robotic platforms, smart control of chemical processes, virtual reality and blockchain, among many others, in enhancing research methods, educational approaches, and industrial practices in chemistry. The significance of this study lies in its focused overview of how these digital innovations foster a more efficient, sustainable, and innovative future in chemical sciences. This article not only illustrates the transformative impact of these technologies but also draws new pathways in chemistry, offering a broad appeal to researchers, educators, and industry professionals to embrace these advancements for addressing contemporary challenges in the field.
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Top-30

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2
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Publishers

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Elsevier
8 publications, 32%
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4 publications, 16%
Wiley
3 publications, 12%
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2 publications, 8%
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1 publication, 4%
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1 publication, 4%
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1 publication, 4%
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1 publication, 4%
Springer Nature
1 publication, 4%
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 publication, 4%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

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GOST |
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GOST Copy
Ananikov V. P. Top 20 Influential AI-Based Technologies in Chemistry // Artificial Intelligence Chemistry. 2024. Vol. 2. No. 2. p. 100075.
GOST all authors (up to 50) Copy
Ananikov V. P. Top 20 Influential AI-Based Technologies in Chemistry // Artificial Intelligence Chemistry. 2024. Vol. 2. No. 2. p. 100075.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.aichem.2024.100075
UR - https://linkinghub.elsevier.com/retrieve/pii/S2949747724000332
TI - Top 20 Influential AI-Based Technologies in Chemistry
T2 - Artificial Intelligence Chemistry
AU - Ananikov, Valentine P.
PY - 2024
DA - 2024/12/01
PB - Elsevier
SP - 100075
IS - 2
VL - 2
SN - 2949-7477
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Ananikov,
author = {Valentine P. Ananikov},
title = {Top 20 Influential AI-Based Technologies in Chemistry},
journal = {Artificial Intelligence Chemistry},
year = {2024},
volume = {2},
publisher = {Elsevier},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2949747724000332},
number = {2},
pages = {100075},
doi = {10.1016/j.aichem.2024.100075}
}
MLA
Cite this
MLA Copy
Ananikov, Valentine P.. “Top 20 Influential AI-Based Technologies in Chemistry.” Artificial Intelligence Chemistry, vol. 2, no. 2, Dec. 2024, p. 100075. https://linkinghub.elsevier.com/retrieve/pii/S2949747724000332.