most citedHybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2024

Determining a Time-Varying Potential in Time-Fractional Diffusion from Observation at a Single Point

Siyu Cen, Kwancheol Shin, Zhi Zhou

We discuss the identification of a time-dependent potential in a time-fractional diffusion model from a boundary measurement taken at a single point. Theoretically, we establish a…

math.AP2024

Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time

Siyu Cen, Bangti Jin, Yavar Kian +3

In this work we investigate an inverse coefficient problem for the one-dimensional subdiffusion model, which involves a Caputo fractional derivative in time. The inverse problem is…

math.NA2024

High-order BDF convolution quadrature for stochastic fractional evolution equations driven by integrated additive noise

Minghua Chen, Jiankang Shi, Zhen Song +2

The numerical analysis of stochastic time fractional evolution equations presents considerable challenges due to the limited regularity of the model caused by the nonlocal operator…

math.NA2023

Numerical Reconstruction of Diffusion and Potential Coefficients from Two Observations: Decoupled Recovery and Error Estimates

Siyu Cen, Zhi Zhou

The focus of this paper is on the concurrent reconstruction of both the diffusion and potential coefficients present in an elliptic/parabolic equation, utilizing two internal measu…

math.NA2023

High-order splitting finite element methods for the subdiffusion equation with limited smoothing property

Buyang Li, Zongze Yang, Zhi Zhou

In contrast with the diffusion equation which smoothens the initial data to for (away from the corners/edges of the domain), the subdiffusion equation only exhibit…

math.NA20231 cited

Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems

Siyu Cen, Bangti Jin, Qimeng Quan +1

In this work we investigate the numerical identification of the diffusion coefficient in elliptic and parabolic problems using neural networks. The numerical scheme is based on the…