Hybrid AI model finds balanced mix for marine coral concrete
A response-surface-guided neural network predicted a balanced silica-fume and nano-silica formulation for coral aggregate concrete, reducing prediction error without additional ...
A response-surface-guided neural network predicted a balanced silica-fume and nano-silica formulation for coral aggregate concrete, reducing prediction error without additional ...
A trace dose of carbon quantum dots boosts silica fume cement strength by up to 83.7% while cutting costs, offering ...
Researchers have created a porous geopolymer adsorbent from metakaolin and silica fume, using hydrogen peroxide foaming and oil templating, that ...
Researchers trained an explainable XGBoost model on 1,670 field-recorded concrete mixes, achieving R-squared 0.9263 in strength prediction while using SHAP ...
Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the compressive strength of cement-free ...
Researchers coated coal gangue aggregate with sodium silicate, silica fume, or limestone powder and showed that the right coating dramatically ...
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© 2025 Scienmag - Science Magazine