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20242026
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math.NA2026

Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving

Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov +4

Neural operators (NOs) struggle with high-contrast multiscale partial differential equations (PDEs), where fine-scale heterogeneities cause large errors. To address this, we use th…

math.NA2025

Dynamic nonlinear multicontinuum homogenization of systems with intrinsically evolving microstructure

Mohammed Al-Kobaisi, Dmitry Ammosov, Yalchin Efendiev +2

In this paper, we propose a multicontinuum homogenization approach for nonlinear problems involving dynamically evolving multiscale media. The main idea of the proposed approach is…

math.NA2025

Multicontinuum splitting schemes for multiscale wave problems

Mohsen Alshahrani, Buzheng Shan

In this work, we propose multicontinuum splitting schemes for the wave equation with a high-contrast coefficient, extending our previous research on multiscale flow problems. The p…

math.NA2024

Multicontinuum splitting scheme for multiscale flow problems

Yalchin Efendiev, Wing Tat Leung, Buzheng Shan +1

In this paper, we propose multicontinuum splitting schemes for multiscale problems, focusing on a parabolic equation with a high-contrast coefficient. Using the framework of multic…

math.NA2024

Multicontinuum Homogenization for Coupled Flow and Transport Equations

Dmitry Ammosov, W. T. Leung, Buzheng Shan +1

In this paper, we present the derivation of a multicontinuum model for the coupled flow and transport equations by applying multicontinuum homogenization. We perform the multiconti…