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Literature Derived Polypropylene Mechanical Property Data for an Automotive Material Development Case Study Using a Quality Controlled Open Access Extraction Framework

2026-08-31

Abstract excerpt

<title>Abstract</title> <p>Scientific articles contain experimental data that could support data-driven materials development, but reported values are rarely available as complete, machine-learning-ready records. A usable record must connect a formulation, modifier identity and loading, processing route, test condition, measured property, unit, and source evidence. This paper presents a quality-controlled framewo...

Identifiers and source

Literature Corpus work
4597b52c-7e35-5926-b2c9-8027df638a43
DOI
10.21203/rs.3.rs-10575521/v1
Open publication

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Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

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Literature Derived Polypropylene Mechanical Property Data for an Automotive Material Development Case Study Using a Quality Controlled Open Access Extraction FrameworkDOI 10.21203/rs.3.rs-10575521/v1
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