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Frontiers of Environmental Science & Engineering >> 2023, Volume 17, Issue 1 doi: 10.1007/s11783-023-1606-3

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

Available online: 0000-00-00

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Abstract

● Reducting the sampling frequency can enhance the modelling process.

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