Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

Carbon nanotubes are of great interest in both scientific research and commercial applications thanks to the unique properties of the material. A new thesis at Karlstad University looks at how the ...

Electrochemistry stands at the intersection of materials science, chemistry, and physics, driving transformative advances in sustainable energy conversion, ...

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a new approach that combines generative artificial intelligence (AI) and first-principles simulations to predict ...