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20172026
most citedBloch theory-based gradient recovery method for computing topological edge modes in photonic graphene

16 citations · 25 across the 7 of their papers we have counts for

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5 papers · 1 filter

math.NA2026

A Jin--Xin Relaxation Gradual Convergence Method for Conservation-Law PINNs

Emmanuel Lorin, Yuchong Tang, Xu Yang +1

The Jin--Xin relaxation of a nonlinear hyperbolic conservation law introduces a relaxation parameter that controls the width of the internal layer resolving a shock; the discontinu…

math.NA2023

Temporal Difference Learning for High-Dimensional PIDEs with Jumps

Liwei Lu, Hailong Guo, Xu Yang +1

In this paper, we propose a deep learning framework for solving high-dimensional partial integro-differential equations (PIDEs) based on the temporal difference learning. We introd…

math.NA2020★ 8 cited

Unfitted Nitsche's method for computing band structures in phononic crystals with impurities

Hailong Guo, Xu Yang, Yi Zhu

In this paper, we propose an unfitted Nitsche's method to compute the band structures of phononic crystal with impurities of general geometry. The proposed method does not require…

math.NA2019★ 1 cited

Unfitted Nitsche's method for computing wave modes in topological materials

Hailong Guo, Xu Yang, Yi Zhu

In this paper, we propose an unfitted Nitsche's method for computing wave modes in topological materials. The proposed method is based on Nitsche's technique to study the performan…

math.NA2017★ 16 cited

Bloch theory-based gradient recovery method for computing topological edge modes in photonic graphene

Hailong Guo, Xu Yang, Yi Zhu

Photonic graphene, a photonic crystal with honeycomb structures, has been intensively studied in both theoretical and applied fields. Similar to graphene which admits Dirac Fermion…