AI could help improve performance of lithium-ion batteries and fuel cells

Images from both the cathode and anode samples which show real and algorithm-generated microstructures. Imperial researchers have demonstrated how machine learning could help design lithium-ion batteries and fuel cells with better performance. A new machine learning algorithm allows researchers to explore possible designs for the microstructure of fuel cells and lithium-ion batteries, before running 3D simulations that help researchers make changes to improve performance. Improvements could include making smartphones charge faster, increasing the time between charges for electric vehicles, and increasing the power of hydrogen fuel cells running data centres. The paper is published in npj Computational Materials.