most citedBridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CE2025★ 2 cited

Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming

Zofia Pizoń, Shinji Kimijima, Grzegorz Brus

Hydrogen's role is growing as an energy carrier, increasing the need for efficient production, with methane steam reforming being the most widely used technique. This process is cr…