AI Learns to Design Lignin Foams From Pictures and Predicts Their Strength
A new machine learning framework predicts the mechanical properties of lignin-based polyurethane foams from microscope images within 2.3 percent on ...
A new machine learning framework predicts the mechanical properties of lignin-based polyurethane foams from microscope images within 2.3 percent on ...
A physics-informed neural network reconstructs somatic voltage from dendritic recordings using somatic samples at no more than 5% of time ...
Researchers at the University of Tehran have developed an enhanced EEG source imaging method that combines neural networks with finite ...
Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the location, timing, and concentration of ...
Researchers have developed a physics-informed Kolmogorov–Arnold network that localizes multiple tunnel fire sources within about one meter and reconstructs the ...
A new convolutional neural network surrogate with leaky ReLU activation dramatically accelerates and sharpens the identification of hidden groundwater pollution ...
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© 2025 Scienmag - Science Magazine