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Dataset of oxidation properties of refractory alloys
期刊文章

Dataset of oxidation properties of refractory alloys

W.-C. Lin, S. Gorsse 和 A.-C. Yeh
Data in Brief, 卷.68
2026
Web of Science ID: WOS:001840684700003

摘要

High temperature oxidation Isothermal oxidation Machine learning Thermogravimetric analysis High-entropy alloys Learning systems Machine learning Oxidation resistance Refractory materials Thermooxidation Alloy compositions Exposure-time High entropy alloys Highest temperature Isothermal oxidations Machine-learning Oxidation properties Oxidation temperature Temperature oxidation Thermo-gravimetric Thermogravimetric analysis
This data article presents a curated dataset of high-temperature oxidation experiments on refractory alloys and refractory high-entropy alloys (RHEAs). The data were compiled from 62 peer-reviewed publications spanning 1956–2023 and supplemented with initial in-house experimental data generated by the authors’ laboratory. For each experiment, alloy composition (at.%), oxidation temperature (°C), exposure time (h), specific mass change in air (mg/cm²), and the data source are reported in a harmonised format. The dataset is openly accessible through an online repository. It is intended to support data-driven analysis, benchmarking, and machine-learning-assisted design of refractory alloys with improved high-temperature oxidation resistance. © 2026 The Author(s).

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-105046009158&doi=10.1016%2fj.dib.2026.113105&partnerID=40&md5=50d21ad175e99bbab232d0b2d3dabe2b檢視
url
https://doi.org/10.1016/j.dib.2026.113105檢視
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