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Data · dataset · 2025

Machine Learning HPDC datasets

Listed in Teesside University Research Data Repository

This dataset contains 1 000 industrial heats of high-pressure die-cast (HPDC) Al-Si-based alloys, compiled to support the accompanying CALPHAD-oriented manuscript on machine-learning-driven optimisation of hardness (HB) and electrical conductivity (%IACS).

Description

Each record couples the melt chemistry, key thermodynamic descriptors and measured properties, enabling supervised learning, feature-importance analysis and inverse alloy design.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Earth & Environmental Science · Machine learning
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/p3njy3ybgp.115 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title