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Enhanced Temperature Prediction in Ladle Furnace Steel Refining: Hybrid Process Modeling Based on Computational Thermodynamics and Statistical Learning Methods

Crossref DOI link: https://doi.org/10.1007/s11663-025-03715-4

Published Online: 2025-08-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kavić, Daniel

Bernhard, Michael

Rössler, Roman

Schalk, Lena

Bernhard, Christian
Funding

Funding for this research was provided by:

Montanuniversität Leoben
License Information

Text and Data Mining valid from 2025-08-01

Version of Record valid from 2025-08-01
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Article History

Received: 14 May 2025

Accepted: 9 July 2025

First Online: 1 August 2025

Conflict of interest

: On behalf of the authors, the corresponding author states that there is no conflict of interest.

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