EXPLORING CELESTIAL MECHANICS USING TRADITIONAL METHODS AND NEURAL NETWORK

We have studied the rise of celestial mechanics and its integral part in astronomy. The primary objective of this paper is to compare between the traditional way of solving Circular Restricted Three Body problem using Newton's laws with Kepler's foundational laws and Physics Informed Neural Network (PINN). In the future PINN can be used to predict, determine and analyze the stability of orbits.

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Publication Details

Journal
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Published
2025-02-01
DOI
https://doi.org/10.36106/ijsr/1719095
Primary Topic
Modeling, Simulation, and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

EXPLORING CELESTIAL MECHANICS USING TRADITIONAL METHODS AND NEURAL NETWORK

Ashish Kumar Sharma, Madhura Patil
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Modeling, Simulation, and Optimization
article

EXPLORING CELESTIAL MECHANICS USING TRADITIONAL METHODS AND NEURAL NETWORK

Ashish Kumar Sharma, Madhura Patil
article en

Abstract

We have studied the rise of celestial mechanics and its integral part in astronomy. The primary objective of this paper is to compare between the traditional way of solving Circular Restricted Three Body problem using Newton's laws with Kepler's foundational laws and Physics Informed Neural Network (PINN). In the future PINN can be used to predict, determine and analyze the stability of orbits.

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Career Point University (IN)
Openalex Percentile: Top 94%
Modeling, Simulation, and Optimization
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EXPLORING CELESTIAL MECHANICS USING TRADITIONAL METHODS AND NEURAL NETWORK — Ashish Kumar Sharma, Madhura Patil · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH (2025) | TGRS Research Map | TGRS