MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049516 A) filed by J. B. Institute Of Engineering And Technology, Hyderabad, Telangana, on April 17, for 'an intelligent computational platform for predicting and optimizing chemical reactions using machine learning and quantum-inspired modeling.'
Inventor(s) include Dr. L. Vaikuntarao; Mr. B. G. G. Krishnam Raju; Mr. Malapati Balireddy; Ms. Keshapally Vinetha; Dr. Gouthami D; and T. Shravani.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent computational platform for predicting and optimizing chemical reactions using a hybrid framework that integrates machine learning techniques with quantum-inspired modeling. The system comprises modules for data ingestion, preprocessing, molecular representation, reaction prediction, energy estimation, optimization, and feedback integration, enabling accurate prediction of reaction outcomes, intermediates, and pathways. Advanced deep learning models, including graph-based and transformer architectures, are employed to analyze molecular structures and generate multiple reaction possibilities with associated confidence scores. A quantum-inspired module approximates molecular interactions and transition states to enhance prediction accuracy while maintaining computational efficiency. The platform further includes an adaptive optimization mechanism to determine optimal reaction conditions and a feedback loop for continuous learning and improvement. The invention provides a scalable, efficient, and reliable solution for accelerating chemical research, reducing experimental costs, and enabling data-driven decision-making across pharmaceutical, material science, and industrial applications."
Disclaimer: Curated by HT Syndication.
