Evidence map›Paper›PMID 41689754›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2026

Computational analysis of the Lengyel-Epstein system for the chlorite-iodide-malonic acid reaction using radial basis function neural network.

Nek Muhammad Katbar, Shengjun Liu, Hongjuan Liu, Maher Alwuthaynani

Abstract read
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In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nek Muhammad KatbarSchool of Mathematics and Statistics, Central South University, Changsha, 410083, China. nekmuhammad@csu.edu.cn.
Shengjun LiuSchool of Mathematics and Statistics, Central South University, Changsha, 410083, China.
Hongjuan LiuSchool of Mathematics and Statistics, Central South University, Changsha, 410083, China. liuhj@csu.edu.cn.
Maher AlwuthaynaniDepartment of Mathematics, College of Alkhormah, Taif University, Taif, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chlorine dioxide-iodine-malonic acid (CDIMA) reaction governed by the Lengyel-Epstein equations is a canonical reaction-diffusion system known for generating rich Turing patterns and oscillatory behavior. This study implements RBFNNs to analyze and predict the spatiotemporal dynamics of the CDIMA reaction. The coupled nonlinear partial differential equations describe the evolution between iodide

Indexed as

ChloridesChlorine CompoundsIodidesMalonatesNeural Networks, ComputerAlgorithmsComputer SimulationDiffusionIodineKineticsMalatesModels, ChemicalNonlinear DynamicsOxidesRadial Basis Function NetworksRegression AnalysisChloridesChlorine Compoundschlorine dioxidechloriteIodidesIodineMalonatesmalonic acidOxidesLengyel–EpsteinNeural networksPattern formationRadial basis functionReaction–diffusion systemsStatistical analysis

Identifiers

PMID41689754

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.