MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541121519 A) filed by Vidya V; Dr. Vipin Vijayan; Dr. Dhivya A; Dr. Raj Kumar Gupta; Dr. Gangadevi K; and Dr. Padmavathy V, Alappuzha, Kerala, on Dec. 4, 2025, for 'machine learning algorithms for predicting optical properties of nanomaterials.'
Inventor(s) include Vidya V; Dr. Vipin Vijayan; Dr. Dhivya A; Dr. Raj Kumar Gupta; Dr. Gangadevi K; and Dr. Padmavathy V.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a machine learning-based system for predicting the optical properties of nanomaterials, enabling accelerated materials design and development. The invention integrates experimental data, computational modeling, and artificial intelligence (Al) algorithms to establish conelations between the structural and compositional features of nanomaterials and their optical characteristics such as bandgap energy, absorption spectrum, refractive index, reflectance, and photoluminescence intensity. The system comprises a data acquisition module for collecting and preprocessing material descriptors including particle size, morphology, elemental composition, and synthesis parameters. These features are fed into a machine learning prediction model, which may include regression algorithms, ensemble methods, or deep neural networks. The trained model predicts the optical responses of nanomaterials with high accuracy and reduced experimental dependency. The invention further includes a user interface and cloud-based analytics framework that allows researchers to input material parameters and instantly obtain predicted optical behaviors. This approach significantly reduces the cost, time, and effort associated with conventional optical characterization techniques and supports datadriven material discovery and optimization. The invention can be applied in fields such as optoelectronics, photovoltaics, sensors, catalysis, and biomedical imaging, where precise control of nanomaterial optical properties is crucial.ncentra."
Disclaimer: Curated by HT Syndication.
