Astronomy & Space Sciences
Title: | A Machine Learning Approach to Estimate Atomic and Molecular Properties Accurately for Space Applications |
Area: | Astronomy & Space Sciences |
Focus Area: | Computational Chemistry and Machine Learning |
Status: | Under Development |
Social Benefits: | The project being undertaken by ISRO in collaboration with academia is directly or indirectly beneficial to the society. |
Developing Agency: | Indian Institute of Technology (IIT) Bombay, Mumbai, Maharashtra |
Source Title: | Indian Space Research Organisation (ISRO)- Department of Space (DOS) 2022-2024 |
Brief Description
Description : | The project aims at a Machine Learning Approach to Estimate Atomic and Molecular Properties of atomic clock accurately for Space Applications.The project proposes to develop an accurate protocol based on relativistic ab-initio calculations to simulate the properties of atomic clock candidates. |
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