Quantitative analysis of mechanically alloyed CuZrB powders.
- Published in:
- Metallurgical & Materials Data, 2024, v. 2, n. 4, p. 147, doi. 10.56801/MMD44
- By:
- Publication type:
- Article
Works matching IS 29561787 AND DT 2024 AND VI 2 AND IP 4
Results: 5
1
2
Prediction of Sinter Productivity Utilizing Deep Learning Frameworks: A Multivariate Analysis.
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- Metallurgical & Materials Data, 2024, v. 2, n. 4, p. 141, doi. 10.56801/MMD42
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- Publication type:
- Article
3
Statistics and sustainability in the iron and steel industry: from resources to low-carbon technologies.
- Published in:
- Metallurgical & Materials Data, 2024, v. 2, n. 4, p. 131, doi. 10.56801/MMD45
- By:
- Publication type:
- Article
4
Comparative analysis of cystine and cysteine as green corrosion inhibitors of aluminium alloy AA7075-T6.
- Published in:
- Metallurgical & Materials Data, 2024, v. 2, n. 4, p. 119, doi. 10.56801/MMD43
- By:
- Publication type:
- Article
5
The global market of PET production: from origins to recycling.
- Published in:
- Metallurgical & Materials Data, 2024, v. 2, n. 4, p. 113, doi. 10.56801/MMD46
- By:
- Publication type:
- Article