MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621041003 A) filed by Prof. Dr. Vasudeo Rajaram Patil; Dr. Sarika Ashokrao Bhojne; Dr. Sarika Prakash Shahare; Dr. Jeevan Laxmanrao Pawde; Dr. Rahul Vitthalrao Mapari; and Dr. Pravin Ashokrao Bolke on March 31, 2026, for System And Method For Computational Transformation Of Spacetime Metrics Using Relativistic Tensor Models.
Inventors include Prof. Dr. Vasudeo Rajaram Patil; Dr. Sarika Ashokrao Bhojne; Dr. Sarika Prakash Shahare; Dr. Jeevan Laxmanrao Pawde; Dr. Rahul Vitthalrao Mapari; and Dr. Pravin Ashokrao Bolke.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention relates to a system and method for computational transformation of spacetime metrics using relativistic tensor models. The invention provides a unified computational framework comprising a computational core, a tensor processing engine, and a transformation module configured to represent, process, and transform spacetime metrics across different coordinate systems. The system enables computation of relativistic quantities including Christoffel symbols, curvature tensors, and geodesic equations, and supports both static and dynamic spacetime configurations. A dynamic simulation engine is provided to model time-dependent spacetime evolution using numerical relativity techniques, while a high-performance computing interface enables parallel processing for improved efficiency and scalability. The invention further integrates machine learning models to optimize tensor operations and enhance predictive capabilities. The system supports interoperability with external platforms and provides visualization tools for graphical representation of spacetime geometries. The invention enables accurate, scalable, and efficient modeling of relativistic phenomena for applications in astrophysics, engineering, and advanced scientific research.
Disclaimer: Curated by HT Syndication.
