Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming - replication data
收藏DataCite Commons2025-05-15 更新2025-06-14 收录
下载链接：
https://agh.rodbuk.pl/citation?persistentId=doi:10.58032/AGH/MVAWHO
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资源简介：
This repository bundles the raw experimental data, model outputs, and MATLAB scripts used in our study of methane steam reforming (MSR). It enables the complete reproduction of the kinetic and equilibrium simulations, the data-driven weighting procedure, and the training and evaluation of an Artificial Neural Network (ANN) surrogate model.
提供机构：
AGH University of Krakow
创建时间：
2025-04-01
