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Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties
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| Published in: | PLOS ONE |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190402797568 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | PLOS ONE |
| description | |
| discipline_display | Multidisciplinary |
| discipline_facet | Multidisciplinary |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:7355 |
| institution | FRELIP |
| journal_source_facet | PLOS ONE |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties Multidisciplinary General Multidisciplinary |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Multidisciplinary General Multidisciplinary Multidisciplinary General Multidisciplinary |
| subject_facet | Multidisciplinary General Multidisciplinary |
| title | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_auth | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_full | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_fullStr | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_full_unstemmed | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_short | Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties |
| title_sort | predicting grain growth kinetic in steels using machine learning and xai for mechanical properties |
| topic | Multidisciplinary General Multidisciplinary |
| url | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0341053 |