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A Machine Learning Approach to Estimate Atomic and Molecular Properties Accurately for Space Applications

Project Overview

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.

Benefits

The project being undertaken by ISRO in collaboration with academia is directly or indirectly beneficial to the society.
Quick Information
Thrust Areas
Astronomy & Space Sciences
Focus Area
Computational Chemistry and Machine Learning
Status
Under Development
Source Title
Indian Space Research Organisation (ISRO)- Department of Space (DOS) 2022-2024
Output
Status
Under Development
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