Tag: materials discovery

A machine learning-guided search has produced a tungsten bronze oxide ceramic that combines a high dielectric constant, ultralow loss and ...

Tohoku University researchers propose a framework called Physics-Grounded Materials AI that embeds thermodynamic, kinetic, and electronic-structure principles into machine learning ...

A new review argues that artificial intelligence has accelerated perovskite solar cell research locally but cannot deliver industrial deployment without ...

Researchers have unveiled an Optimize-to-Optimize machine-learning workflow that uses rules distilled from 275 stable low-entropy chloride double perovskites to guide ...

A new review argues that integrating density functional theory with machine learning has matured into a powerful, experimentally validated engine ...

Researchers have developed an interpretable multitask deep learning framework, trained on density functional theory calculations, that simultaneously predicts how strongly ...