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Data-mining approach for battery materials

机译:电池材料的数据挖掘方法

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In this work we present a data-driven approach to the rational design of battery materials based on both resource and performance considerations. This work builds upon previous efforts by Gaultois and coworkers to use data mining to explore battery materials. A large database of Li-ion battery material has been created by abstracting information from over 200 publications. The database consists of over 16,000 data points from various classes of materials. In addition to reference information regarding author, publication, synthesis and material composition, key parameters and variables determining the performance of batteries were collected including energy density, power density, discharge capacity, lithiation potential, capacity retention upon cycling and many others. In addition to performance considerations, this work also includes resource considerations such as crustal abundance and the Herfindahl-Hirschman index, a commonly accepted measure of market concentration, calculated from geological data (known elemental reserves) and geopolitical data (elemental production). The data is organized into a free web-based resource where battery researchers can employ a unique visualization method to plot database parameters against one another. The resulting high-information density plots are well suited to explore correlation, comparison and analysis of both performance and resource considerations in battery materials simultaneously. This contribution is concerned with cathode and anode electrode materials. Cathode materials are mostly based on the intercalation mechanism while anode materials are primarily based on conversion and alloying. Also Na and Li resources are compared to determine viability of one battery type that can supply worldwide energy by renewable resources. Results indicate that cathode materials follow a common trend consistent with their crystal structure. On the other hand anode materials display behavior based on elemental composition. Of partic- lar interest is that cobaltate electrodes may not be justifiable in terms of performance and resource consideration in cathodes and those silicate materials may be a good candidate for next generation anode electrodes. Resource consideration of Li-ion batteries showed that, there is an exhaustible supply that necessitates production of other type of batteries such as Na-ion batteries.
机译:在这项工作中,我们介绍了一种基于资源和性能考虑的电池材料合理设计的数据驱动方法。这项工作在Gaultois和Coworkers使用数据挖掘以探索电池材料的努力之上。通过从200多个出版物抽象信息,创建了一个大型锂离子电池材料数据库。数据库由各种材料中的超过16,000个数据点组成。除了关于作者,发布,合成和材料组合物的参考信息之外,收集了确定电池性能的关键参数和变量,包括能量密度,功率密度,放电容量,循环潜力,循环和许多其他能力保持。除了绩效考虑之外,这项工作还包括从地质数据(已知元素储备)和地缘政治数据(元素生产)计算的地质丰度和Herfindahl-Hirschman指数,例如地壳丰富和Herfindahl-Hirschman指数,常见的市场集中衡量标准。该数据被组织成免费的基于Web的资源,其中电池研究人员可以采用唯一的可视化方法来绘制彼此的数据库参数。由此产生的高信息密度图非常适合于同时探讨电池材料中性能和资源考虑的相关性,比较和分析。该贡献涉及阴极和阳极电极材料。阴极材料主要基于嵌入机制,而阳极材料主要基于转化和合金化。还可以使用Na和Li Resources来确定一种可通过可再生资源提供全球能源的一种电池类型的可行性。结果表明,阴极材料遵循与其晶体结构一致的共同趋势。另一方面,基于元素组成的阳极材料显示行为。在语言的兴趣中,在阴极中的性能和资源考虑方面,钴酸盐电极可能无法合理,并且那些硅酸盐材料可以是下一代阳极电极的良好候选者。锂离子电池的资源考虑表明,有一种可漏的供应,需要生产其他类型的电池,例如Na离子电池。

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