GTS: A Python toolkit for building Gibbs thermodynamic surface with application to obtain high-pressure melting data

Published: 25 September 2025| Version 1 | DOI: 10.17632/wkkkv6twgk.1
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Description

Various methods are commonly applied for data acquisition in the melting process of substances under high pressure. However, throughout the application of these methods, challenges persist, including significant time and computational requirements, as well as issues related to hysteresis effects. We introduce the GTS package, a Python toolkit based on the work of J. W. Gibbs to obtain melting data at high pressures in a geometrical manner. We outline the theory behind constructing the Gibbs thermodynamic surface, which includes regions representing the solid and liquid phases. Several examples are presented to demonstrate program execution and validate accuracy by comparing results with prior studies. GTS is openly accessible on GitHub: https://github.com/computation-mineral-physics-group/GTS.

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Condensed Matter Physics, Computational Physics, Thermodynamics, Molecular Dynamics

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