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From the 1 of 6 linked papers with an AI index.

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6 papers

math.NA2026

A linear, fully decoupled, and unconditionally energy-stable SAV-FEM for the Cahn--Hilliard--Navier--Stokes model

Jinting Yang, Nianyu Yi, Peimeng Yin

The paper presents a linear, fully decoupled finite element scheme using a single scalar auxiliary variable that is unconditionally energy‑stable for the Cahn–Hilliard–Navier–Stoke…

math.NA2026

Neural network-enhanced -adaptive finite element algorithm for parabolic equations

Jiaxiong Hao, Yunqing Huang, Nianyu Yi +1

In this paper, we propose a novel -adaptive finite element method, enhanced by neural networks, for parabolic equations. The main challenge of the conventional -adaptive fin…

math.NA2026

Towards finite element methods for fourth-order elliptic equation. Part I: general boundary conditions

Xihao Zhang, Hengguang Li, Nianyu Yi +1

This paper is part of a series developing finite element methods for fourth-order elliptic equations on polygonal domains. Here, we investigate how boundary conditions influe…

math.NA2025

Enhanced gradient recovery-based a posteriori error estimator and adaptive finite element method for elliptic equations

Ying Liu, Jingjing Xiao, Nianyu Yi +1

Recovery type a posteriori error estimators are popular, particularly in the engineering community, for their computationally inexpensive, easy to implement, and generally asymptot…

math.NA2025

High Accuracy Techniques Based Adaptive Finite Element Methods for Elliptic PDEs

Jingjing Xiao, Ying Liu, Nianyu Yi

This paper aims to develop an efficient adaptive finite element method for the second-order elliptic problem. Although the theory for adaptive finite element methods based on resid…

math.NA2025

A second-order dynamical low-rank mass-lumped finite element method for the Allen-Cahn equation

Jun Yang, Nianyu Yi, Peimeng Yin

In this paper, we propose a novel second-order dynamical low-rank mass-lumped finite element method for solving the Allen-Cahn (AC) equation, a semilinear parabolic partial differe…