Journal
RSC ADVANCES
Volume 12, Issue 9, Pages 5458-5465Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d1ra07659k
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- School of Natural Sciences, Mathematics, and Engineering at California State University, Bakersfield
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This study provides a systematic roadmap for engineering the oxidation efficiency and corrosion resistance of Lithium-based systems using ReaxFF-based Reactive Molecular Dynamics simulations. It explores the oxidation mechanism of bare Lithium and the effect of introducing graphene-oxide, as well as the corrosion resistance of graphene-coated Lithium. The study is valuable for experimental investigations and engineering design.
Understanding the oxidation and corrosion characteristics of Lithium (Li)-based systems is critical to their successful use as a solid fuel in spacecraft, powerplants, rechargeable batteries, submarines, and many other aquatic and corrosive environments. This study offers a systematic roadmap for engineering the oxidation efficiency and corrosion resistance of Li-based systems using ReaxFF-based Reactive Molecular Dynamics (RMD) simulations for the first time. First, we explored the oxidation mechanism of bare Li (Li/O-2) at 1200 K, noticing that the oxidation process quickly ceases due to the creation of a passive oxide film on the Li surface. Afterward, we examined the effect of introducing graphene-oxide (GO) to the oxidation process of Li/O-2. Interestingly, the inclusion of GO establishes a new reaction pathway between Li and O-2, thus significantly improving oxidation efficiency. Additionally, we realized that when the concentration of GO increases in the system, the oxidation rate of Li/O-2 increases considerably. As exposed to O-2 and H2O, bare Li is observed to be highly corrosion-prone, while graphene (Gr)-coated Li exhibits excellent corrosion resistance, suggesting that Gr might be used as a promising corrosion-protective shield. Overall, this study is intended to serve as a reference for experimental investigations and assist researchers and engineers in designing more efficient Li-based functional systems.
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