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Ab initio vibrational free energies including anharmonicity for multicomponent alloys, , , , , , , und . NPJ Computational Materials, (2019)Data for: Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition, , , und . Dataset, (2023)Related to: J. H. Jung, A. Forslund, P. Srinivasan, and B. Grabowski, 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, 184107 (2023). doi: 10.1103/PhysRevB.108.184107.Li5Sn, the Most Lithium-Rich Binary Stannide : A Combined Experimental and Computational Study, , , , , und . Journal of the American Chemical Society, 144 (16): 7096-7110 (2022)High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, , , und . npj computational materials, (2023)Ab initio vibrational free energies including anharmonicity for multicomponent alloys, , , , , , , und . npj Comput. Mater., 5 (1): 80 (Juli 2019)Data for: Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals, , , und . Dataset, (2023)Related to: A. Forslund, J. H. Jung, P. Srinivasan, and B. Grabowski, Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals, Phys. Rev. B 107, 174309 (2023). doi: 10.1103/PhysRevB.107.174309.Performance of two complementary machine-learned potentials in modelling chemically complex systems, , , , , und . Npj Comput. Mater., (2023)Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom, , , und . Dataset, (2024)Related to: Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10, 41 (2024). doi: 10.1038/s41524-024-01222-9.Performance of two complementary machine-learned potentials in modelling chemically complex systems, , , , , und . npj computational materials, 9 (1): 129 (2023)Thermodynamic properties on the homologous temperature scale from direct upsampling : Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals, , , und . Physical review. B, Condensed matter and materials physics, 107 (17): 174309 (2023)