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Role of Artificial Intelligence (AI) in Industry Using Chemical Applications

Author

Listed:
  • Muskan Khan

    (Department of Chemistry, Maa Shakumbhari University, Saharanpur, U.P)

  • Gitika Saini

    (Department of Chemistry, Maa Shakumbhari University, Saharanpur, U.P)

  • Raj Kumar

    (Department of Chemistry, Maa Shakumbhari University, Saharanpur, U.P)

  • Krishna Anand

    (Department of Chemistry, Maa Shakumbhari University, Saharanpur, U.P)

Abstract

Artificial Intelligence (AI) is transforming the chemical industry by enhancing efficiency, safety, and sustainability. This paper explores the role of AI in industrial chemical applications, including process optimization, predictive maintenance, drug discovery, and green chemistry. By integrating machine learning algorithms with chemical processes, industries can reduce costs, improve product quality, and minimize environmental impact. The study proposes a conceptual AI-driven framework for real-time monitoring and optimization of chemical processes. Furthermore, it highlights current challenges such as data limitations, high implementation costs, and lack of skilled workforce. The paper concludes with future directions emphasizing the importance of AI in achieving sustainable industrial growth.

Suggested Citation

  • Muskan Khan & Gitika Saini & Raj Kumar & Krishna Anand, 2026. "Role of Artificial Intelligence (AI) in Industry Using Chemical Applications," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 11(4), pages 1474-1483, April.
    • Handle: RePEc:bjf:journl:v:11:y:2026:i:4:p:1474-1483
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    References listed on IDEAS

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    1. Keith T. Butler & Daniel W. Davies & Hugh Cartwright & Olexandr Isayev & Aron Walsh, 2018. "Machine learning for molecular and materials science," Nature, Nature, vol. 559(7715), pages 547-555, July.
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