Meta-learning improves concrete strength prediction with limited data
A new meta-learning framework improves concrete strength prediction accuracy and interpretability using limited data.
A new meta-learning framework improves concrete strength prediction accuracy and interpretability using limited data.
A 2024 review in Biotechnology for Sustainable Materials details destructive and non-destructive testing strategies for evaluating the safety and performance ...
Annealing ZrB2 coatings at 750 °C for 4 hours significantly enhances the slurry erosion resistance and microhardness of steel pipes ...
A finite element analysis reveals that steel-aluminium bimetallic beams perform best at high temperatures, while invar-aluminium pairs excel in cryogenic ...
New gel polymer electrolytes based on cross-linked PEG networks show that ionic conductivity is governed by network content and cross-linking ...
Adding polypropylene fibers to xanthan gum-stabilized clayey sand significantly extends specimen integrity during wet-dry cycles, demonstrating improved durability.
Researchers quantified the mechanical strength and composition of ancient Yemeni Qadhad mortar, finding it suitable for sustainable heritage conservation.
A comprehensive review highlights the development of tri-functional electrocatalysts that bridge zinc-air batteries and water splitting, addressing the gap between ...
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© 2026 Scienmag - Science Magazine