Suhail Rather
Bandipora, July 21: In a pioneering effort to bridge artificial intelligence and advanced chemical research, chemistry scholar Ulfat Nazir has authored a new book titled AI in Quantum Computational Chemistry, which delves into the transformative role of AI in enhancing molecular simulations and research precision.
Ulfat, who specializes in organic chemistry, said the book was inspired by the immense potential of AI to overcome traditional computational challenges in quantum chemistry — a domain known for its mathematical complexity and high computational demands.
“Quantum models are crucial for simulating molecular behaviour their complexity makes them difficult to work with,” Ulfat explained. “AI can optimise these calculations, uncover patterns, and make computational chemistry more efficient and accessible.”
The book provides insights into how machine learning algorithms are being integrated with quantum mechanics to drive innovation in diverse fields such as material science, drug discovery, and molecular design.
Combining theoretical foundations with real-world case studies, Ulfat has created a resource aimed at students, researchers, and professionals who want to understand the evolving role of AI in scientific research. The author said that simplifying complex scientific concepts for a broader audience was the most intellectually demanding part of writing the book.
“But it also deepened my own understanding,” she noted, adding that effective science communication is key to making emerging fields more inclusive and innovative.
Ulfat hopes the book will serve not only as an academic reference but also as an inspiration for young scientists exploring the convergence of artificial intelligence and molecular science.
