ANN-based prediction of equilibrium gas composition and carbon yield in methane pyrolysis and reforming methods

ANN accurately reproduces equilibrium predictions and generalizes well to unseen conditions, demonstrating robust performance and broad applicability across diverse methane reforming processes.

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Publication Details

Journal
Reaction Chemistry & Engineering
Published
2025-11-27
DOI
https://doi.org/10.1039/d5re00322a
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
0.00
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article

ANN-based prediction of equilibrium gas composition and carbon yield in methane pyrolysis and reforming methods

Reaction Chemistry & Engineering
Catalysts for Methane Reforming
article

ANN-based prediction of equilibrium gas composition and carbon yield in methane pyrolysis and reforming methods

article en

Abstract

ANN accurately reproduces equilibrium predictions and generalizes well to unseen conditions, demonstrating robust performance and broad applicability across diverse methane reforming processes.

Reaction Chemistry & EngineeringVol. 11(3)
Warsaw University of Technology (PL)
Openalex Percentile: Top 65%
Catalysts for Methane Reforming
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ANN-based prediction of equilibrium gas composition and carbon yield in methane pyrolysis and reforming methods · Reaction Chemistry & Engineering (2025) | TGRS Research Map | TGRS