Lithium-ion batteries (LiBs) have become the most widely used rechargeable batteries worldwide. Energy researchers and material scientists have been...
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The National Institute for Materials Science (NIMS) and SoftBank Corp. have jointly developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The work is published in the journal Advanced Science.
Lithium-ion batteries (LiBs) have become the most widely used rechargeable batteries worldwide. Energy researchers and material scientists have been...
Accurate prediction of lithium battery lifespan is crucial for the proper functioning of electrical equipment. However, predicting battery lifespan...
Lithium-ion batteries are everywhere—in our phones, laptops, electric vehicles, and even our children’s toys. These batteries have become an...
One of the most critical safety concerns for electric vehicles is keeping their batteries cool, as temperature spikes can lead to dangerous...
One of the most critical safety concerns for electric vehicles is keeping their batteries cool, as temperature spikes can lead to dangerous...
As the demand for energy storage diversifies, the limitations of lithium supplies drive a shift toward alternative technologies. Sodium, potassium,...
As the demand for energy storage diversifies, the limitations of lithium supplies drive a shift toward alternative technologies. Sodium, potassium,...
Analyzing and predicting climate and weather is one of the most important parts of the space economy. Machine learning and artificial intelligence...
Mercedes-Benz is betting on solid-state batteries, co-developed with US-based Factorial, for its future electric car range. The companies promise a...
Each of the 128 sites across rural Liberia integrates solar energy and smart lithium batteries and is set to improve connectivity.