Pith. sign in

REVIEW 1 cited by

A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2006.16526 v1 pith:GAGQUCZ2 submitted 2020-06-30 math.NA cs.NA

classification math.NAcs.NA
keywords schemealgorithmconvolutionfastorderdissipationenergykernels
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In this paper, we consider a nonlinear and nonlocal parabolic model for multi-species ionic fluids and introduce a semi-implicit finite volume scheme, which is second order accurate in space, first order in time and satisfies the following properties: positivity preserving, mass conservation and energy dissipation. Besides, our scheme involves a fast algorithm on the convolution terms with singular but integrable kernels, which otherwise impedes the accuracy and efficiency of the whole scheme. Error estimates on the fast convolution algorithm are shown next. Numerous numerical tests are provided to demonstrate the properties, such as unconditional stability, order of convergence, energy dissipation and the complexity of the fast convolution algorithm. Furthermore, extensive numerical experiments are carried out to explore the modeling effects in specific examples, such as, the steric repulsion, the concentration of ions at the boundary and the blowup phenomenon of the Keller-Segel equations.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A review of annotation classification tools in the educational domain

    cs.CL 2025-01 conditional novelty 3.0 of 10

    A literature review proposes a four-way taxonomy of annotation classification mechanisms used by educational annotation tools and reports that about 85 percent of surveyed tools include some classification support.

Pith tools