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Data for: Machine learning potentials for hydrogen absorption in TiCr2 Laves ...
This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen absorption in C14 (hexagonal) and C15 (cubic)... -
Data for: Dynamically stabilized phases with full ab initio accuracy: Thermod...
Data for the publication, Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition, Phys. Rev. B 108,... -
Data for: Thermodynamic properties on the homologous temperature scale from d...
Data for the publication Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in... -
Data for: High-accuracy thermodynamic properties to the melting point from ab...
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI:... -
Data for: High-accuracy thermodynamic properties to the melting point from ab...
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI:... -
Data for: Thermodynamic properties on the homologous temperature scale from d...
Data for the publication Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in... -
Data for: Dynamically stabilized phases with full ab initio accuracy: Thermod...
Data for the publication, Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition, Phys. Rev. B 108,...