Simple algorithm uses electron microscopy to predict lithium battery failure risk

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool: scanning electron microscopy. The advance could accelerate the development of safer, longer-lasting and more energy-dense batteries for electric vehicles and grid-scale energy storage.