activity
20182025
most citedA Modified Poisson--Nernst--Planck Model with Excluded Volume Effect: Theory and Numerical Implementation

2 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

math.NA2025

A High-Accuracy Symplectic Scheme for a nonlinear transport problem

Farjana Siddiqua, Catalin Trenchea

We analyze an advection-diffusion-reaction problem with non-homogeneous boundary conditions that models the chromatography process.We prove stability and error estimates for both c…

math.NA2025

Data assimilation with model errors

Aytekin Çibik, Rui Fang, William Layton +1

Nudging is a data assimilation method amenable to both analysis and implementation. It also has the (reported) advantage of being insensitive to model errors compared to other assi…

math.NA2024

Statistics in a Backscatter Eddy Viscosity Turbulence Model

Ali Pakzad, Farjana Siddiqua

This paper addresses two significant drawbacks of an eddy viscosity turbulence model: the issue of excessive dissipation relative to energy input and the lack of a universal parame…

math.NA2024

Adaptive Parameter Selection in Nudging Based Data Assimilation

Aytekin Çıbık, Rui Fang, William Layton +1

Data assimilation combines (imperfect) knowledge of a flow's physical laws with (noisy, time-lagged, and otherwise imperfect) observations to produce a more accurate prediction of…

math.NA2024★ 2 cited

The Ramshaw-Mesina Hybrid Algorithm applied to the Navier Stokes Equations

Aytekin Çibik, Farjana Siddiqua, William Layton

In 1991, Ramshaw and Mesina proposed a novel synthesis of penalty methods and artificial compression methods. When the two were balanced they found the combination was 3-4 orders m…

math.NA2023

Stability and Accuracy analysis of the Method and 3-Point Time filter

Nicholas Hurl, Farjana Siddiqua, Shuxian Xu

This paper analyzes a -method and 3-point time filter. This approach adds one additional line of code to the existing source code of -method. We prove the method's -stabil…

math.NA2023

Variable Time Step Method of DAHLQUIST, LINIGER and NEVANLINNA (DLN) for a Corrected Smagorinsky Model

Farjana Siddiqua, Wenlong Pei

Turbulent flows strain resources, both memory and CPU speed. The DLN method has greater accuracy and allows larger time steps, requiring less memory and fewer FLOPS. The DLN method…

math.NA2022

Numerical Analysis of a Corrected Smagorinsky Model

Farjana Siddiqua, Xihui Xie

The classical Smagorinsky model's solution is an approximation to a (resolved) mean velocity. Since it is an eddy viscosity model, it cannot represent a flow of energy from unresol…

cond-mat.stat-mech2018★ 2 cited

A Modified Poisson--Nernst--Planck Model with Excluded Volume Effect: Theory and Numerical Implementation

Farjana Siddiqua, Zhongming Wang, Shenggao Zhou

The Poisson--Nernst--Planck (PNP) equations have been widely applied to describe ionic transport in ion channels, nanofluidic devices, and many electrochemical systems. Despite the…