2024
DOI: 10.1039/d4gc01418a
|View full text |Cite
|
Sign up to set email alerts
|

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....

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2024
2024
2025
2025

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 57 publications
(79 reference statements)
0
0
0
Order By: Relevance
“…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.…”
Section: Highmentioning
confidence: 99%
“…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.…”
Section: Highmentioning
confidence: 99%