Machine learning-assisted design of cathode materials for lithium–sulfur batteries derived from a metal–organic framework
Seoyeah OhKyung Moon ChoiJihyeon ParkGeonho KimSeoyoung YoonDong-Jun KimSeok‐Hee LeeJiwon Kim
Abstract
A machine learning (ML)-designed MOF as a carbon precursor for the Li–S battery cathode showed capacity retention closely matching ML predictions.
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