Designing solid-state interfaces on lithium-metal anodes: a review

Li-metal anodes are one of the most promising energy storage systems that can considerably exceed the current technology to meet the ever-increasing demand of power applications. The apparent cycling performances and dendrite challenges of Li-metal anodes are highly influenced by the interface layer on the Li-metal anode because the intrinsic high reactivity of metallic Li results in an inevitable solid-state interface layer between the Li-metal and electrolytes. In this review, we summarize the recent progress on the interfacial chemistry regarding the interactions between electrolytes and ion migration through dynamic interfaces. The critical factors that affect the interface formation for constructing a stable interface with a low resistance are reviewed. Moreover, we review emerging strategies for rationally designing multiple-structured solid-state electrolytes and their interfaces, including the interfacial properties within hybrid electrolytes and the solid electrolyte/electrode interface. Finally, we present scientific issues and perspectives associated with Li-metal anode interfaces toward a practical Li-metal battery.     

玻璃标样结合硫内标归一定量技术在激光剥蚀-等离子体质谱分析硫化物矿物中的应用

以硬石膏矿物标样中Ca相对于S的灵敏度因子为基准,将玻璃标样中主量和痕量元素相对于Ca的灵敏度因子转换成元素相对于S的灵敏度因子,建立了多玻璃标样结合硫内标归一定量技术分析硫化物单矿物多元素的新方法。利用本方法分析了美国合成多金属硫化物矿物标样MASS-1中20种元素,主量元素分析结果的相对误差小于10%,痕量元素分析结果几乎都落在给定值±不确定度范围内。利用本方法对12个硫化物单矿物分析结果表明,绝大多数主量元素含量测定值的相对误差小于10%,且多数主量元素甚至优于以MASS-1为外标、内标归一定量法及内标校准法分析结果,而痕量元素与MASS-1校准结果较为一致。本方法克服了基体不匹配的问题,能比较准确地定量分析硫化物矿物中的主成分S,可用于定量校准硫化物矿物。     

激光剥蚀电感耦合等离子体质谱分析硅酸盐矿物基体效应的研究

标样与样品之间基体效应的差异是影响LA-ICP-MS分析结果准确度的重要因素,而元素的相对灵敏度因子(RSF)是基体效应的重要表征.本研究考察了17个玻璃标样中49种常见元素及10个电子探针天然硅酸盐矿物标样中10种主、微量元素RSF的差异,比较了以Ca,Al,Si为内标对基体效应的补偿作用及元素分馏效应的影响.结果表...     

Probing the Origin of Viscosity of Liquid Electrolytes for Lithium Batteries

Viscosity is an extremely important property for ion transport and wettability of electrolytes. Easy access to viscosity values and a deep understanding of this property remain challenging yet critical to evaluating the electrolyte performance and tailoring electrolyte recipes with targeted properties. We proposed a screened overlapping method to efficiently compute the viscosity of lithium battery electrolytes by molecular dynamics simulations. The origin of electrolyte viscosity was further comprehensively probed. The viscosity of solvents exhibits a positive correlation with the binding energy between molecules, indicating viscosity is directly correlated to intermolecular interactions. Salts in electrolytes enlarge the viscosity significantly with increasing concentrations while diluents serve as the viscosity reducer, which is attributed to the varied binding strength from cation–anion and cation–solvent associations. This work develops an accurate and efficient method for computing the electrolyte viscosity and affords deep insight into viscosity at the molecular level, which exhibits the huge potential to accelerate advanced electrolyte design for next-generation rechargeable batteries.