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Generalization-Capable PINNs for the Lane–Emden Equation: Residual and StellarNET Approaches

We present a Physics-Informed Neural Network (PINN) approach to solving the Lane–Emden equation, a model used to describe polytropic stars’ behavior in astrophysics. The equation is reformulated as a two-dimensional problem; we treat both the radial coordinate and polytropic index as inputs for the...

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Principais autores: Andrei-Ionuț Mohuț, Călin-Adrian Popa
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2025-09-01
סדרה:Applied Sciences
נושאים:
PINN
Lane–Emden equation
differential equations
astrophysical modeling
גישה מקוונת:https://www.mdpi.com/2076-3417/15/18/10035
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