Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

@article{Keith2021CombiningML,
  title={Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems},
  author={John A. Keith and Valentin Vassilev-Galindo and Bingqing Cheng and Stefan Chmiela and Michael Gastegger and Klaus-Robert M{\"u}ller and Alexandre Tkatchenko},
  journal={Chemical Reviews},
  year={2021},
  volume={121},
  pages={9816 - 9872}
}
Machine learning models are poised to make a transformative impact on chemical sciences by dramatically accelerating computational algorithms and amplifying insights available from computational chemistry methods. However, achieving this requires a confluence and coaction of expertise in computer science and physical sciences. This Review is written for new and experienced researchers working at the intersection of both fields. We first provide concise tutorials of computational chemistry and… Expand
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