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Generalized DeepONets for Viscosity Prediction Using Learned Entropy Scaling ... Dataset
Data-driven approaches used to predict thermophysical properties benefit from physical constraints because the extrapolation behavior can be improved and the amount of training... -
Data for: Dynamically stabilized phases with full ab initio accuracy: Thermod... Dataset
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,... -
Replication Data for: Strong impact of spin fluctuations on the antiphase bou... Dataset
Data for the publication " Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al", Acta Materialia, 255, doi:... -
Data for: Thermodynamic properties on the homologous temperature scale from d... Dataset
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... Dataset
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:...