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Sulfur-doped hard carbon hybrid anodes with dual lithium-ion/metal storage bifunctionality for high-energy-density lithium-ion batteries
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作者 Sungmin Cho Jong Chan Hyun +5 位作者 Son Ha Yeonhua choi Honggyu Seong jaewon choi Hyoung-Joon Jin Young Soo Yun 《Carbon Energy》 SCIE CAS CSCD 2023年第1期71-81,共11页
Bifunctional hybrid anodes(BHAs),which are both a high-performance active host material for lithium-ion storage as well as a guiding agent for homogeneous lithium metal nucleation and growth,exhibit significant potent... Bifunctional hybrid anodes(BHAs),which are both a high-performance active host material for lithium-ion storage as well as a guiding agent for homogeneous lithium metal nucleation and growth,exhibit significant potential as anodes for next-generation high-energy-density lithium-ion batteries(LIBs).In this study,sulfur-doped hard carbon nanosphere assemblies(S-HCNAs)were prepared through a hydrothermal treatment of a liquid organic precursor,followed by high-temperature thermal annealing with elemental sulfur for application as BHAs for LIBs.In a carbonate-based electrolyte containing fluoroethylene carbonate additive,the S-HCNAs showed high lithium-ion storage capacities in sloping as well as plateau voltage sections,good rate capabilities,and stable cyclabilities.In addition,high average Coulombic efficiencies(CEs)of~96.9%were achieved for dual lithium-ion and lithium metal storage cycles.In the LIB full-cell tests with typical NCM811 cathodes,the S-HCNA-based BHAs containing~400 mA h g^(−1) of excess lithium led to high energy and power densities of~500Wh kg^(−1) and~1695Wkg^(−1),respectively,and a stable cycling performance with~100%CEs was achieved. 展开更多
关键词 hard carbon hybrid anode lithium-ion batteries lithium metal anode lithium metal batteries sulfur-doped carbon
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利用ASTER图像和GIS并结合频率比、逻辑回归和人工神经网络模型获得的滑坡脆弱性图
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作者 jaewon choi Hyun-Joo Oh +1 位作者 赵玉军(翻译) 孙建平(校对) 《水文地质工程地质技术方法动态》 2012年第4期46-46,共1页
根据先进星载热发射和反辐射计(ASTER)图像获取滑坡相关因素,并利用地理信息系统(GIS)开发、应用和验证韩国Boun地区滑坡脆弱性分析的综合技术。从ASTER图像中获取数字高程模型(DEM)、线性特征、归一化差值植被指数(NDVI)和土... 根据先进星载热发射和反辐射计(ASTER)图像获取滑坡相关因素,并利用地理信息系统(GIS)开发、应用和验证韩国Boun地区滑坡脆弱性分析的综合技术。从ASTER图像中获取数字高程模型(DEM)、线性特征、归一化差值植被指数(NDVI)和土地覆盖因素并进行分析。根据DEM地形数据库评估边坡、方位和曲率。根据已有空间数据库并利用频率比(FR)、逻辑回归(LR)和人工神经网络模型(ANN)鉴定和量化检测的滑坡位置与6种相关因素之间的关系。在叠加分析中把这些相互关系用作因子额定值以创建滑坡脆弱性指数和滑坡脆弱性图。随后,在FR、LR和ANN模型中作为新输人因子结合并应用3种滑坡脆弱性图,从而创建改进的滑坡脆弱性图。通过对比在模型实验中未使用的已知滑坡位置来验证所有这些滑坡脆弱性图。对比利用3种滑坡相关输入参数创建的改进精度的综合滑坡脆弱性图(FR}莫型为87.00%;LRN型为88.21%;ANN模型为86.51%)与利用ASTER图像中6种因素创建的单独滑坡脆弱性图(FR丰莫型为84.34%;LR模型为85.40%;ANN模型为74.29%)。 展开更多
关键词 人工神经网络模型 脆弱性分析 ASTER 图像获取 逻辑回归 频率比 滑坡 利用
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