The power that makes electrical automobiles take a trip further and smart devices last much longer originates from battery products. Amongst them, the core product that straight identifies the efficiency and life expectancy of a battery is the cathode product. What happens if expert system could change the many experiments needed for battery product growth? A KAIST research study group has actually established an expert system (AI) structure that offers both the fragment dimension of cathode products and forecast dependability also in scenarios where speculative information wants, opening up the opportunity of growth to next-generation power modern technologies such as all-solid-state batteries.
发布者：Dr.Durant，转转请注明出处：https://robotalks.cn/reliability-aware-ai-opens-path-to-faster-cathode-design-and-next-generation-batteries/
