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A hybrid analytical-machine learning framework for data-driven modeling of soliton solutions in the complex Ginzburg-Landau equation.

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Title: A hybrid analytical-machine learning framework for data-driven modeling of soliton solutions in the complex Ginzburg-Landau equation.
Authors: Muhammad, Jan1 (AUTHOR), Tedjani, Ali H.2 (AUTHOR), Yao, Fengping3 (AUTHOR), Younas, Usman3 (AUTHOR) usmanalgebra@shu.edu.cn
Source: Science Progress. Apr-Jun2026, Vol. 109 Issue 2, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: A hybrid analytical-machine learning framework for data-driven modeling of soliton solutions in the complex Ginzburg-Landau equation.
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  Data: <searchLink fieldCode="JN" term="%22Science+Progress%22">Science Progress</searchLink>. Apr-Jun2026, Vol. 109 Issue 2, p1-20. 20p.
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        Value: 10.1177/00368504261447051
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              Text: Apr-Jun2026
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