activity
20182026
most citedAn Asymptotic-Preserving and Energy-Conserving Particle-In-Cell Method for Vlasov-Maxwell Equations

9 citations · 26 across the 10 of their papers we have counts for

collaborators

10 papers

math.NA2026

Nonlinear Model Order Reduction on Quadratic Manifolds via Greedy Algorithms with Dimension-Dependent Regularization

Lijie Ji, Sabrina Rashid, Yanlai Chen +1

Traditional projection-based reduced-order modeling approximates the full-order model by projecting it onto a linear subspace. With a fast-decaying Kolmogorov -width of the solu…

math.NA2024

AAROC: Reduced Over-Collocation Method with Adaptive Time Partitioning and Adaptive Enrichment for Parametric Time-Dependent Equations

Lijie Ji, Zhichao Peng, Yanlai Chen

Nonlinear and nonaffine terms in parametric partial differential equations can potentially lead to a computational cost of a reduced order model (ROM) that is comparable to the cos…

math.NA2023

MCMS-RBM: Multi-Component Multi-State Reduced Basis Method toward Efficient Transition Pathway Identification for Crystals and Quasicrystals

Yajie Ji, Lijie Ji, Yanlai Chen +1

Due to quasicrystals having long-range orientational order but without translational symmetry, traditional numerical methods usually suffer when applied as is. In the past decade,…

math.NA2022★ 3 cited

Asymptotic analysis on charging dynamics for stack-electrode model of supercapacitors

Lijie Ji, Zhenli Xu, Shenggao Zhou

Supercapacitors are promising electrochemical energy storage devices due to their prominent performance in rapid charging/discharging rates, long cycle life, stability, etc. Experi…

physics.plasm-ph2022★ 9 cited

An Asymptotic-Preserving and Energy-Conserving Particle-In-Cell Method for Vlasov-Maxwell Equations

Lijie Ji, Zhiguo Yang, Zhuoning Li +3

In this paper, we develop an asymptotic-preserving and energy-conserving (APEC) Particle-In-Cell (PIC) algorithm for the Vlasov-Maxwell system. This algorithm not only guarantees t…

math.NA2021★ 4 cited

A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations

Yanlai Chen, Lijie Ji, Zhu Wang

The need for accelerating the repeated solving of certain parametrized systems motivates the development of more efficient reduced order methods. The classical reduced basis method…

math.NA2021★ 3 cited

An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation

Yanlai Chen, Sigal Gottlieb, Lijie Ji +1

The need for multiple interactive, real-time simulations using different parameter values has driven the design of fast numerical algorithms with certifiable accuracies. The reduce…

math.NA2020★ 1 cited

L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations

Yanlai Chen, Lijie Ji, Akil Narayan +1

The task of repeatedly solving parametrized partial differential equations (pPDEs) in, e.g. optimization or interactive applications, makes it imperative to design highly efficient…

math.NA2019

L1-ROC and R2-ROC: L1- and R2-based Reduced Over-Collocation methods for parametrized nonlinear partial differential equations

Yanlai Chen, Sigal Gottlieb, Lijie Ji +2

The onerous task of repeatedly resolving certain parametrized partial differential equations (pPDEs) in, e.g. the optimization context, makes it imperative to design vastly more ef…

math.NA2018★ 6 cited

A reduced basis method for the nonlinear Poisson-Boltzmann equation

Lijie Ji, Yanlai Chen, Zhenli Xu

In numerical simulations of many charged systems at the micro/nano scale, a common theme is the repeated solution of the Poisson-Boltzmann equation. This task proves challenging, i…