This Perspective explores the potential of directly mapping computational problems in machine learning to materials and device properties, and proposes metrics to facilitate comparisons between different solutions to machine learning tasks.
- Nathaniel Joseph Tye
- Stephan Hofmann
- Phillip Stanley-Marbell