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20172026
most citedAsymmetric transport computations in Dirac models of topological insulators

11 citations · 14 across the 27 of their papers we have counts for

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18 papers · 1 filter

math.NA2026

A Novel Stochastic Particle-Field Algorithm for a Reaction-Diffusion-Advection Cancer Invasion Model

Jingyuan Hu, Zhongjian Wang, Jack Xin +1

In this paper, we present a novel numerical framework for solving a specific biological reaction-diffusion-advection system of cancer growth in three dimensions (3D) using particle…

math.NA2025

A fast stochastic interacting particle-field method for 3D parabolic parabolic Chemotaxis systems: numerical algorithms and error analysis

Jingyuan Hu, Zhongjian Wang, Jack Xin +1

In this paper, we develop a novel numerical framework, namely the stochastic interacting particle-field method with particle-in-cell acceleration (SIPF-PIC), for the efficient simu…

math.NA2025

A Stochastic Genetic Interacting Particle Method for Reaction-Diffusion-Advection Equations

Boyi Hu, Zhongjian Wang, Jack Xin +1

We develop and analyze a stochastic genetic interacting particle method (SGIP) for reaction-diffusion-advection (RDA) equations. The SGIP method employs operator splitting to appro…

math.NA2025

Regularity estimate and sparse approximation of pathwise robust Duncan-Mortensen-Zakai equation

Yuhua Meng, Zhongjian Wang, Stephen S. T. Yau +1

In this paper, we establish an \textit{a priori} estimate for arbitrary-order derivatives of the solution to the pathwise robust Duncan-Mortensen-Zakai (DMZ) equation within the fr…

math.NA2025

PODNO: Proper Orthogonal Decomposition Neural Operators

Zilan Cheng, Zhongjian Wang, Li-Lian Wang +1

In this paper, we introduce Proper Orthogonal Decomposition Neural Operators (PODNO) for solving partial differential equations (PDEs) dominated by high-frequency components. Build…

math.NA2024

A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion

Boyi Hu, Zhongjian Wang, Jack Xin +1

The investigation of tumor invasion and metastasis dynamics is crucial for advancements in cancer biology and treatment. Many mathematical models have been developed to study the i…