Tingting Yan

Ancient glass artifacts often undergo weathering in burial environments, leading to element exchange and composition changes that affect their identification and classification. This study employs multiple linear regression, grey relational analysis, and cluster analysis to examine glass weathering and classification. Statistical analysis shows high‑potassium glass has stronger weathering resistance than lead‑barium glass, while color has little influence. Multiple linear regression estimates the original chemical composition before weathering. Cluster analysis subdivides high‑potassium glass and lead‑barium glass into distinct subgroups based on key oxides, with good model sensitivity verifying the classification. Grey relational analysis further reveals compositional relationship differences between glass types. This research provides reliable scientific support for the compositional identification, classification, and conservation of ancient glass artifacts.

In the pursuit of advancing the knowledge of energetic materials, we successfully formulated the energetic perovskite DAI-X1 with the chemical formula (C₁₂H₅₀I₆N₃Na₂O₃₆). Energetic perovskites hold great promise in various applications, including high-energy storage and propulsion systems, due to their unique combination of high energy density and structural versatility. DAI-X1, in particular, has attracted our attention because of its potential for optimized performance in these areas. We conducted an in-depth investigation into the high-pressure stability of DAI-X1 using in situ high-pressure Raman spectroscopy analysis. DAI-X1 possesses a cubic ABX₃ perovskite structure, and notable modifications in its Raman spectroscopic characteristics were noted within the pressure interval of 2.5–7.8 GPa, indicating structural instability under high pressure and suggesting a possible phase transition. Upon pressure release following compression to 12.5 GPa, the Raman spectra exhibit partial reversibility of the phase transition, as certain characteristic peaks return to their original positions while others retain irreversible shifts. This study establishes fundamental understanding for investigating high-pressure responses in DAI-X1 and analogous energetic materials.