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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Retraction Note: Machine learning-driven evaluation of mechanical and microstructural properties of agro-waste-derived geopolymer concrete
Retraction of: Scientific Reports https://doi.org/10.1038/s41598-026-50251-5, published online 26 May 2026 The Editors have retracted this Article. After publication, concerns were raised regarding the authorship of this Article. The Editors requested clarification and supporting evidence from the Authors, including the data underlying the paper.
Geometry-Faithful Strain Normalization for Interface-Controlled Strengthening in Phase-Transforming Filamentary Composites
, , , , Geometry-Faithful Strain Normalization for Interface-Controlled Strengthening in Phase-Transforming Filamentary Composites, Advanced Engineering Materials2026, 0, e71072. https://doi.org/10.1002/adem.71072 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The analyzed data are included within the article.
Elucidating formability limits in warm incremental sheet forming of AZ61 magnesium alloy using integrated grey relational and data-driven analysis
Abstract The growing demand for lightweight structural components in the automotive and aerospace sectors has intensified interest in magnesium alloys; however, their limited formability at room temperature continues to restrict widespread industrial adoption. In this study, the formability and surface quality of AZ61 magnesium alloy during warm incremental sheet forming (ISF) are systematically investigated.
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