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1.
ACS Appl Mater Interfaces ; 14(40): 45476-45483, 2022 Oct 12.
Artículo en Inglés | MEDLINE | ID: mdl-36190118

RESUMEN

A highly stable composite electrolyte was developed in this research to address the performance decline over time in a solid lithium ion battery (SLIB). It involved the synthesis of bifunctional MOF material (MOF-2) from two different functionalized UiO-66 materials containing carboxyl groups and amine groups, respectively, and the subsequent blending of PEO (polyethylene oxide) with the MOF-2 to form the novel composite solid electrolyte (PEO-MOF-2). The composite electrolytes showed higher ionic conductivity (5.20 × 10-4 S/cm) than that of pristine PEO. The LiFePO4||Li cells constructed with PEO-MOF-2 exhibited 98.45% capacity retention with 149.92 mA h/g after 100 cycles operation at 1.0 C, which was higher than those cells prepared with pristine PEO electrolyte or with PEO-based electrolytes that were only doped by aminated MOF or carboxylated MOF. Furthermore, our experiments showed that there was about a 40% increase in the potential window (from 3.5 to 5.0 V) and 80% increase in the lithium ion transfer number (from 0.20 to 0.36 at 60 °C) as a result of replacing pristine PEO electrolyte with PEO-MOF-2.

2.
Artículo en Inglés | MEDLINE | ID: mdl-27662679

RESUMEN

This article presents two new deterministic algorithms for constructing consensus trees. Given an input of  phylogenetic trees with identical leaf label sets and  leaves each, the first algorithm constructs the majority rule (+) consensus tree in time, which is optimal since the input size is , and the second one constructs the frequency difference consensus tree in time.


Asunto(s)
Algoritmos , Biología Computacional/métodos , Modelos Genéticos , Filogenia , Análisis por Conglomerados
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