Predicting the propensity for thermally activated $\beta$ events in metallic glasses via interpretable machine learning (bibtex)
by Qi Wang, Jun Ding, Longfei Zhang, Evgeny Podryabinkin, Alexander Shapeev, Evan Ma
Reference:
Predicting the propensity for thermally activated $\beta$ events in metallic glasses via interpretable machine learning (Qi Wang, Jun Ding, Longfei Zhang, Evgeny Podryabinkin, Alexander Shapeev, Evan Ma), npj Computational Materials, Nature Publishing Group, volume 6, 2020.
Bibtex Entry:
@article{wang2020-glass,
  title={Predicting the propensity for thermally activated $\beta$ events in metallic glasses via interpretable machine learning},
  author={Wang, Qi and Ding, Jun and Zhang, Longfei and Podryabinkin, Evgeny and Shapeev, Alexander and Ma, Evan},
  journal={npj Computational Materials},
  volume={6},
  number={1},
  pages={1--12},
  year={2020},
  publisher={Nature Publishing Group}
}
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