Supplementary material of Identification and prediction of photoplasticity in semiconductors using feature engineering and machine learning
Abstract
This dataset represents supporting data for the paper entitled Identification and prediction of photoplasticity in semiconductors using feature engineering and machine learning.
Fields of Study & Subjects
Machine Learning in Materials Science
2D Materials and Applications
Phase-change materials and chalcogenides
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026