Michael W. Gaultois

According to our database, Michael W. Gaultois authored at least 3 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context.

Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky

CoRR, 2023

2022

Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties.

Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky

CoRR, 2022

Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties.

Andrij Vasylenko, Dmytro Antypov, Vladimir V. Gusev, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky

CoRR, 2022