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This review explores how AI advancements can enhance green chemistry and sustainable chemical processes.

June 15, 2026Applied IntelligenceOpen Access

Harnessing Artificial Intelligence (AI) for a greener future: a review of AI advancements in green chemistry, chemical processes and sustainable materials

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Review highlights advancements in AI impacting green chemistry and sustainable processes, suggesting actionable guidance.

This review explores how AI advancements can enhance green chemistry and sustainable chemical processes.
Reviewed AI techniques including artificial neural networks, random forests, and Bayesian optimization in green chemistry.
Examined applications in catalyst design, solvent optimization, polymer innovation, drug discovery, and waste management.
Identified challenges and provided guidance on data management and model validation.
AI-driven methodologies significantly accelerate discovery in sustainable materials and processes.
Challenges such as energy efficiency and scalability remain prominent.
The research emphasizes the need for robust data governance and cross-laboratory validation.

Elkhatat et al. (2026) studied this question.

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