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Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...
Detecting writing via artificial intelligence is a tricky dance: Doing it right means being effective at identifying it while ...
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.
Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...
Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...
Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...