Using modeling and simulations as well as generative AI and ML techniques for materials design and process optimization, informed decisions can be made on the second life performance of the recycled chemicals. Virtual twin experiences for the choice of the mechanical and chemical technologies for recycling, converting precious metals in the battery to high-purity raw materials, enabling the production of new batteries from recycled materials, and ensuring that the second life battery performs as good as the batteries made from virgin materials are all necessary for successful circularity. By performing "what/if" virtual experiments, several scenarios can be virtually investigated prior to deploying them in the physical lab.