AI 中文总结
研究测试锂投影声子态密度能否描述固体电解质离子电导率，通过特定方法生成谱，经多队列材料分析，发现Li谱权重与电导率关系，基于Li-PDOS的核实现较好留一法\(R^2\)，支持其作为比较筛选描述符。
AI 中文摘要
晶格动力学在固体电解质设计中被广泛应用，但声子信息通常被压缩为带中心或其他标量柔软度度量。本文测试完整的锂投影声子态密度（Li-PDOS）是否能提供可重复的室温离子电导率实验描述符。利用MatterSim力和Phonopy为OBELiX数据集中晶体学解析的条目生成谐波总谱和Li投影谱。通过组成和结构审核定义了不同队列的材料。结果表明，总DOS和Li-PDOS的平均Wasserstein-1距离分别为0.542 THz和0.731 THz，Li谱权重向低频重新分布与更高电导率相关。基于完整Li-PDOS的Wasserstein核实现了留一法\(R^2 = 0.444\)。结果支持移动离子分辨谱分布作为有用的比较筛选描述符，而非普遍的因果柔软度定律。
英文摘要
Lattice dynamics are widely invoked in the design of solid electrolytes, yet phonon information is commonly compressed into a band center or another scalar softness measure. Here we test whether the complete lithium-projected phonon density of states (Li-PDOS) provides a reproducible descriptor of experimental room-temperature ionic conductivity. MatterSim forces and Phonopy were used to generate harmonic total and Li-projected spectra for crystallographically resolved entries in the OBELiX dataset. A composition and structure audit defined a primary cohort of 260 materials (212 train and 48 test), a strict cohort of 241, and an exact-composition cohort of 168. Across 20 independently generated phonon-calculation database comparisons, the mean Wasserstein-1 distance was 0.542 THz for total DOS and 0.731 THz for Li-PDOS, revealing broad agreement but systematic, projection-dependent softening. Higher conductivity was associated with redistribution of normalized Li spectral weight toward low frequencies: in the untouched test set, the Li fractions below 2 and 5 THz had Spearman coefficients of 0.333 and 0.374, while the 5$\%$ cumulative-frequency quantile had a coefficient of $-0.393$. A Wasserstein kernel on the full Li-PDOS achieved held-out $R^2=0.444$, compared with 0.012 for total DOS and 0.181 for a static composition--structure kernel. The Li model remained stable in the strict ($R^2=0.462$) and exact ($R^2=0.451$) cohorts. Family adjustment attenuated scalar associations, and Li-versus-total whole-spectrum dependence was cohort sensitive. The results therefore support mobile-ion-resolved spectral distributions as useful comparative screening descriptors, not as a universal causal softness law.
Comments27 pages, 5 figures
