AI Learns to Predict Nuclear Steel Strength from Tiny, Scarce Datasets
Researchers combined machine learning with GAN and SMOGN data augmentation to accurately predict the tensile properties of sub-sized nuclear steel ...
Researchers combined machine learning with GAN and SMOGN data augmentation to accurately predict the tensile properties of sub-sized nuclear steel ...
Researchers have shown that a machine learning model trained on casting data, guided by chromium and nickel equivalents, can accurately ...
New research shows that rolling 9Cr-ODS steel within the intercritical temperature window preserves its strengthening nano-oxides and delivers higher strength ...
A new study shows that annealing hydrogen-charged C7 zirconium alloy at 510 degrees Celsius redistributes brittle hydrides and restores room-temperature ...
Researchers have converted post-consumer surgical mask and gown waste into high-performance polypropylene nanocomposites using a dual-step process with carbon nanotubes ...
Extrusion transforms a cast aluminum-cerium-magnesium alloy into a strong, tough and heat-stable material that retains nearly all its properties after ...
Brazilian researchers used solution blow spinning to create hydrophobic PVDF-clay nanofiber mats that gain strength at low clay loadings but ...
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© 2025 Scienmag - Science Magazine