EconPapers    
Economics at your fingertips  
 

Corrigendum to “Multi-soliton solutions and data-driven discovery of higher-order Burgers’ hierarchy equations with physics-informed neural networks” [Chaos, Solitons & Fractals 194 (2025) 116224]

D.A. Kaltsas, L. Magafas, P. Papadopoulou and G.N. Throumoulopoulos

Chaos, Solitons & Fractals, 2025, vol. 196, issue C

Abstract: This corrigendum addresses errors in the proof of the conserved quantity C presented in Eq. (17) of the original paper D.A. Kaltsas et al. (2025).11DOI of original article: https://doi.org/10.1016/j.chaos.2025.116224 Specifically, we correct (1) a technical issue stemming from the inadvertent retention of an exploratory term γt, introduced during preliminary calculations, which led to a misinterpretation and an inconsistent proof, and (2) a typographical error concerning the order of partial derivatives with respect to x. These corrections do not alter the main results of the paper, which focused on the case βt=0, but they provide a more rigorous and consistent analysis.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925004734
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:196:y:2025:i:c:s0960077925004734

DOI: 10.1016/j.chaos.2025.116460

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().

 
Page updated 2025-05-06
Handle: RePEc:eee:chsofr:v:196:y:2025:i:c:s0960077925004734