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@article{183350,
        author = {Dr. Swarna Kamal Samanta},
        title = {Recent Developments in Artificial Intelligence (AI) in Chemical Research},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1476-1479},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183350},
        abstract = {The burgeoning field of artificial intelligence (AI) is rapidly transforming various scientific disciplines, and chemical research is no exception. This review article provides a comprehensive overview of the recent advancements in the application of AI, including machine learning (ML) and deep learning (DL), across diverse areas of chemical research. We explore AI's impact on accelerating materials discovery, optimizing reaction pathways, predicting molecular properties, streamlining drug design, and enhancing chemical synthesis. The review highlights specific methodologies, such as generative models for molecular design, predictive models for retrosynthesis, and reinforcement learning for autonomous experimentation. Furthermore, it addresses the challenges associated with data quality and availability, interpretability of AI models, and the integration of AI tools into existing research workflows. Finally, we discuss future prospects and the transformative potential of AI to revolutionize the pace and scope of chemical innovation, paving the way for data-driven scientific discovery.},
        keywords = {Artificial intelligence, machine learning, deep learning, chemical research, materials discovery, drug design, retrosynthesis, molecular property prediction, autonomous experimentation.},
        month = {August},
        }