Toher, Cormac

High-entropy ceramics

Oses, C., Toher, C., & Curtarolo, S. (2020) · Nature Reviews Materials

High Entropy Alloys StudiesAdvanced ceramic materials synthesis

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Machine learning for alloys

Hart, G. L. W., Mueller, T., Toher, C., & Curtarolo, S. (2021) · Nature Reviews Materials

Machine Learning in Materials ScienceThermodynamic and Structural Properties of Metals and Alloys

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Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases

Perim, E., Lee, D., Liu, Y., Toher, C., Gong, P., Li, Y., Simmons, W. N., Levy, O., Vlassak, J. J., Schroers, J., et al. (2016) · Nature Communications

Metallic Glasses and Amorphous AlloysMachine Learning in Materials Science

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AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis

Oses, C., Gossett, E., Hicks, D., Rose, F., Mehl, M. J., Perim, E., Takeuchi, I., Sanvito, S., Scheffler, M., Lederer, Y., et al. (2018) · Journal of Chemical Information and Modeling

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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AFLOW-XtalFinder: a reliable choice to identify crystalline prototypes

Hicks, D., Toher, C., Ford, D. C., Rose, F., Santo, C. D., Levy, O., Mehl, M. J., & Curtarolo, S. (2021) · npj Computational Materials

Machine Learning in Materials ScienceCrystal Structures and Properties

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