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Vol. 36 No. 12 (2024): Vol 36 Issue 12, 2024

Copyright (c) 2024 Sowjanya Pulipati

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Artificial Intelligence in Green Organic Chemistry: Pathway to Sustainable and Eco-Friendly Chemistry

https://doi.org/10.14233/ajchem.2024.32719
Gurinderdeep Singh
Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala-147002, India
https://orcid.org/0000-0003-0166-3685
Eashwar Sai Komarla Rajasekhar
Department of Data Science and Artificial Intelligence, Indian Institute of Technology-Bhilai, Kutela Bhata, Bhilai-491001, India
https://orcid.org/0009-0009-7429-8464
Kamati Mounika
Department of Pharmacy Practice, MB School of Pharmaceutical Sciences, Mohan Babu University (Erstwhile: Sree Vidyanikethan College of Pharmacy), Sri Sainath Nagar, Rangampeta, Tirupati-517102, India
https://orcid.org/0009-0000-3987-044X
K.R. Sri Krishna Tulasi
Department of Computer Science Engineering, MBU School of Computing, Mohan Babu University, Sri Sainath Nagar, Rangampeta, Tirupati-517102, India
https://orcid.org/0009-0005-1839-8568
Tejaswi Dondapati
Department of Pharmaceutical Chemistry, Sri Padmavathi School of Pharmacy, Tiruchanur, Tirupati-517503, India
https://orcid.org/0000-0002-1520-5303
M. Himasaila
Department of Pharmacology, Sri Padmavathi School of Pharmacy, Tiruchanur, Tirupati-517503, India
https://orcid.org/0000-0001-7432-0494
Sowjanya Pulipati
Department of Pharmaceutics, Vignan Pharmacy College, Vadlamudi-522213, India
https://orcid.org/0000-0002-5434-5368

Corresponding Author(s) : Sowjanya Pulipati

sowjy.pharma@gmail.com

Asian Journal of Chemistry, Vol. 36 No. 12 (2024): Vol 36 Issue 12, 2024

Abstract

Artificial intelligence (AI) is playing an increasingly critical role in advancing green organic chemistry by optimizing chemical processes to minimize environmental impact. From predicting reaction outcomes to designing eco-friendly synthetic pathways, AI tools are contributing to sustainable chemical research. This review explores the application of AI in areas such as reaction optimization, solvent selection and waste reduction, all key aspects of green chemistry. Moreover, AI-driven approaches allow for the development of catalysts and reagents that reduce harmful byproducts and energy consumption. Despite these advancements, challenges remain in terms of data availability, integration with experimental workflows and ensuring the interpretability of AI models for chemists. This review also highlights the potential of AI to accelerate green chemistry innovation while maintaining alignment with the 12 principles of green chemistry. By addressing these challenges, AI can further enhance the sustainability of organic synthesis, paving the way for a greener chemical industry.

Keywords

Artificial intelligence Green chemistry Organic synthesis Sustainability Reaction optimization Machine learning
Singh, G., Rajasekhar, E. S. K., Mounika, K., Tulasi, K. S. K., Dondapati, T., Himasaila, M., & Pulipati, S. (2024). Artificial Intelligence in Green Organic Chemistry: Pathway to Sustainable and Eco-Friendly Chemistry. Asian Journal of Chemistry, 36(12), 2731–2743. https://doi.org/10.14233/ajchem.2024.32719
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