Scientists all over the world are looking into sodium-ion batteries (Na-ion batteries) as potential alternatives to the more expensive lithium-ion batteries, especially for sustainable applications such as electric cars and renewable energy generation. In a recent study, researchers from Japan leveraged machine learning to predict the optimal composition of transition-metal layered oxides for the positive electrode of Na-ion batteries. Their approach showcased how artificial intelligence can be used to greatly reduce the time, resources, and efforts needed when exploring new materials.
Researchers optimize sodium-ion battery composition
AI can be used to greatly reduce time when exploring new materials.
- Advertisement -
Explore more ..
Humanoid Launches UK’s First Industrial Humanoid Robot, HMND 01 Alpha
Built in record time, Alpha targets labour shortages with warehouse-ready automation.
New Calculus Method Boosts Robot Agility
Yale researchers develop a faster way for robots to compute derivatives, unlocking smoother, more proactive movements.
Volkswagen Powers Ahead with Unified Cells and Solid-State Batteries
Volkswagen's battery innovations promise longer range and faster charging for future EVs.
Honeywell Unveils Ionic™: Modular Energy Storage for Industry
A compact all-in-one BESS to cut costs, boost reliability, and integrate renewables.
TRENDING
- Advertisement -



