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Data · dataset · 2026

Efficient Gibbs Free-Energy Evaluation under Volume Compression: A Benchmark Dataset for QHA and Sparse-Volume Grüneisen Interpolation

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This dataset supports the article “An Efficient Method for Gibbs Free Energy Evaluation under Volume Compression.” It covers diamond C, fcc Al, Si, Ge, rutile TiO₂, β-PtO₂, and nine Ta₂O₅ polymorphs.

Description

The dataset contains phonon-mesh data calculated at 20–21 volume points using VASP and Phonopy, static-energy and volume summaries, zero-point-energy and effective Grüneisen-parameter fitting data, selected three- volume training sets, and Gibbs free-energy results obtained from both the quasiharmonic approximation and sparse-volume Grüneisen interpolation. A total of 574 mesh.yaml files used in the article figures are included.

These comprise compression grids for the six representative systems, multiphase Si and Ge datasets, thermal-expansion datasets for Al and Si, and phonon data for nine Ta₂O₅ polymorphs over 0–40 GPa. Scripts are provided for γ/ZPE fitting, piecewise mode-resolved frequency interpolation, Helmholtz and Gibbs free-energy calculations, volume minimization, and phase-diagram construction.

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The dataset enables reproduction of the principal numerical tables, Gibbs free-energy curves, reconstruction-error maps, pressure–temperature phase diagrams, and thermal-expansion results reported in the article.

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Chemical engineering 74%
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