In-House Lecture on Artificial Intelligence & Machine Learning in Chemistry
The Department of Chemistry, Chevalier T. Thomas Elizabeth College for Women, organized an In-House Lecture on “Artificial Intelligence & Machine Learning in Chemistry” on 19 August 2026 at 1:30 p.m. in the S5 Classroom. The programme was organized to introduce students to the growing role of Artificial Intelligence (AI) and Machine Learning (ML) in the field of chemistry and scientific research.
The session was graced by Mrs. S. Poornima, Assistant Professor, Department of Computer Applications, CTTE College for Women, who served as the resource person. The lecture provided students with an opportunity to understand how modern computational technologies are transforming traditional approaches to chemistry.
The session began with an introduction to the basic concepts of Artificial Intelligence and Machine Learning. Students were introduced to the ways in which AI can be used to process large amounts of chemical data, identify patterns, predict molecular properties and support scientific decision-making. The resource person also explained how machine learning techniques can be applied to areas such as drug discovery, molecular modelling, chemical analysis, materials science and prediction of chemical reactions.
The lecture highlighted the importance of interdisciplinary learning, particularly the connection between chemistry and computer science. Students gained an understanding of how computational tools can complement laboratory experiments, reduce time and resources, and assist researchers in developing innovative solutions to complex chemical problems.
The interactive nature of the session encouraged students to explore the possibilities of AI and ML beyond conventional academic learning. The programme also created awareness about the importance of acquiring digital and computational skills for future careers and research in chemistry.
The In-House Lecture was an informative and enriching experience for the students. It successfully demonstrated that the integration of Artificial Intelligence, Machine Learning and Chemistry can open new avenues for innovation, research and sustainable scientific development.
Overall, the programme served as a valuable platform for students to gain insights into emerging technologies and their applications in chemistry, inspiring them to embrace interdisciplinary approaches in their academic and professional journeys.













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