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Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs)

The aim of the presented research was to optimize a pig iron desulfurization process through data-driven machine learning methods. Utilizing historical data, chemical analysis of pig iron and slag, and the thermodynamics of the process including simulations of the chemical reactions between individu...

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Bibliografske podrobnosti
Principais autores: Andrii Pylypenko, Peter Demeter, Branislav Buľko, Slavomír Hubatka, Lukáš Fogaraš, Jaroslav Legemza, Jaroslav Demeter
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2024-02-01
Serija:Engineering Proceedings
Teme:
Online dostop:https://www.mdpi.com/2673-4591/64/1/3
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