Categories: AI/ML News

New materials library could help AI design better sodium-ion batteries

The start of a new battery materials library could pave the way for future AI models to help scientists design sodium-ion batteries that charge faster, last longer and store more energy, according to new research from the University of Surrey.

Leveraging machine learning to find promising compositions for sodium-ion batteries

Energy storage is an essential part of many rapidly growing sustainable technologies, including electric cars and renewable energy generation. Although lithium-ion batteries (LIBs) dominate the current market, lithium is a relatively scarce and expensive element, creating both economic and supply stability challenges. Accordingly, researchers all over the world are experimenting…

November 6, 2024

In "AI/ML News"

Cheaper, longer-lasting batteries are closer thanks to a pinch of sodium and a supercomputer

The Expanse supercomputer at the San Diego Supercomputer Center (SDSC) at the University of California School of Computing, Information and Data Sciences has played an important role in helping researchers design the next generation of batteries that could make large-scale energy storage cheaper and more sustainable.

April 22, 2026

In "AI/ML News"

Building better batteries with amorphous materials and machine learning

Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of energy per mass or volume of the battery.

September 30, 2025

In "AI/ML News"

AI Generated Robotic Content