Machine Learning-Assisted Multi-Property Prediction and Sintering Mechanism Exploration of Mullite-C...
Machine Learning-Assisted Multi-Property Prediction and Sintering Mechanism Exploration of Mullite-Corundum Ceramics
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Mullite-corundum ceramics are pivotal in heat transfer pipelines and thermal energy storage systems due to their excellent mechanical properties, thermal stability, and chemical resistance. Establishing relationships and mechanisms through traditional experiments is time-consuming and labor-intensive. In this study, gradient boosting regression (GB...
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Full title
Machine Learning-Assisted Multi-Property Prediction and Sintering Mechanism Exploration of Mullite-Corundum Ceramics
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11943972
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11943972
Other Identifiers
ISSN
1996-1944
E-ISSN
1996-1944
DOI
10.3390/ma18061384
