Machine learning models accelerate deep eutectic solvent discovery for the recycling of lithium-ion battery cathodes
Fengyi Zhou,
Dingyi Shi,
Wenbo Mu
et al.
Abstract:Deep eutectic solvents (DESs) have been widely applied to recover spent Lithium-ion batteries (LIBs), however, developing effective and efficient systems for cathode leaching via traditional trial-and-error method requires substantial efforts....
“…Developing highly efficient and environmentally friendly DESs requires sustained efforts. Correspondingly, Zhou et al 194 used a database and predictive model to generate counterfactual generative adversarial networks (CGAN) to assist in discovering ideal DES combinations. The predicted results for DES composed of ChCl : glycolic acid showed good consistency with experimental results.…”
“…Developing highly efficient and environmentally friendly DESs requires sustained efforts. Correspondingly, Zhou et al 194 used a database and predictive model to generate counterfactual generative adversarial networks (CGAN) to assist in discovering ideal DES combinations. The predicted results for DES composed of ChCl : glycolic acid showed good consistency with experimental results.…”
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