Machine-learned multi-system surrogate models for materials prediction (bibtex)
by Chandramouli Nyshadham, Matthias Rupp, Brayden Bekker, Alexander V Shapeev, Tim Mueller, Conrad W Rosenbrock, Gábor Csányi, David W Wingate, Gus LW Hart
Reference:
Machine-learned multi-system surrogate models for materials prediction (Chandramouli Nyshadham, Matthias Rupp, Brayden Bekker, Alexander V Shapeev, Tim Mueller, Conrad W Rosenbrock, Gábor Csányi, David W Wingate, Gus LW Hart), npj Computational Materials, Nature Publishing Group, volume 5, 2019.
Bibtex Entry:
@article{nyshadham2018-comparison,
  title={Machine-learned multi-system surrogate models for materials prediction},
  author={Nyshadham, Chandramouli and Rupp, Matthias and Bekker, Brayden and Shapeev, Alexander V and Mueller, Tim and Rosenbrock, Conrad W and Cs{\'a}nyi, G{\'a}bor and Wingate, David W and Hart, Gus LW},
  journal={npj Computational Materials},
  volume={5},
  pages={51},
  year={2019},
  publisher={Nature Publishing Group},
  doi = {10.1038/s41524-019-0189-9},
  eprint = {1809.09203},
  url = {https://rdcu.be/bxDSf},
  cat = {IP}
}
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