Solving the Fractional Allen–Cahn Equation and the Fractional Cahn–Hilliard Equation with the Fractional Physics-Informed Neural Networks

In this paper, we present a computational framework based on fractional Physics-Informed Neural Networks combined with the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mn>1</mn></mrow></semantics></math></inline-formula> approximation...

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Egile Nagusiak:	Xiaorong Kang, Yang Li, Yongzheng Li, Jinsong Hu, Kelong Zheng
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-11-01
Saila:	Fractal and Fractional
Gaiak:	fractional Physics-Informed Neural Networks Caputo fractional derivative fractional Allen–Cahn equation fractional Cahn–Hilliard equation optimization strategies
Sarrera elektronikoa:	https://www.mdpi.com/2504-3110/9/12/773
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