Pages: 13-18

Krunal Patil, Prathemesh Chaure, Dr. Shobha Rupanar

DOI: https://adypsoe.in/adypjiet-journal/Artical-17-2025-05-21

In recent years, artificial intelligence (AI) has seen rapid growth in modelling and predicting chemical reactions. It is becoming an integral part of scientific research, enabling scientists to work faster by generating ideas, designing experiments, managing large datasets, and uncovering insights that traditional methods might miss.

Chemistry, the science of studying the structure, composition, properties, and reactions of matter, involves many complex tasks such as drug discovery, reaction prediction, and material design. AI can efficiently process vast information on synthesis methods, reaction pathways, material structures, and properties, helping chemists design synthesis processes more effectively while reducing time- consuming manual work.

Despite AI’s powerful capabilities, human creativity remains vital. Innovative thinking is necessary to guide and enhance AI systems, ensuring their continuous improvement. In turn, advanced AI tools support chemists in conducting deeper, more sophisticated research.