| Publication No: | IN202311064135 [India] | Application No: | IN202311064135 |
| Title: | SYSTEM TO PREDICT PRESSURE-COMPOSITION-TEMPERATURE CURVE FOR METAL ALLOYS USED FOR SOLID-STATE HYDROGEN STORAGE | ||
| Publication Date: | 28-03-2025 | File Date: | 25-09-2023 |
| Inventor(s): | Kavita Purushottam Joshi; Ashwini Dinanath Verma | ||
| IPC Classification: | G06N 20/00, G06N 3/04, C01B 3/00, G06N 3/08, G06N 5/02 | ||
| Abstract: | System to Predict Pressure-Composition-Temperature Curve for Metal Alloys Used for Solid-State Hydrogen Storage The present invention provides a technical solution in the form of a machine learning (ML) based system and a machine learning (ML) based method to predict a Pressure-Composition-Temperature (PCT) curve for a metal alloy to be used/implemented for solid-state hydrogen storage. The instant invention aims to solve the problems associated with determining the suitability of an alloy for solid state hydrogen storage, specifically by predicting the PCT curve that enables to determine the suitability of an alloy for solid state hydrogen storage, Accordingly, aspects of the present invention relate to a system and methods to analyze, predict and generate PCT (pressure-composition-temperature) curves for metal alloys w.r.t storage of H2 in solid-state, the system and methods provided herein predict such details using machine learning based mode. |
||