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Quantum Chemistry in the Age of Machine Learning.

Pavlo O Dral
Published in: The journal of physical chemistry letters (2020)
As the quantum chemistry (QC) community embraces machine learning (ML), the number of new methods and applications based on the combination of QC and ML is surging. In this Perspective, a view of the current state of affairs in this new and exciting research field is offered, challenges of using machine learning in quantum chemistry applications are described, and potential future developments are outlined. Specifically, examples of how machine learning is used to improve the accuracy and accelerate quantum chemical research are shown. Generalization and classification of existing techniques are provided to ease the navigation in the sea of literature and to guide researchers entering the field. The emphasis of this Perspective is on supervised machine learning.
Keyphrases
  • machine learning
  • molecular dynamics
  • artificial intelligence
  • big data
  • deep learning
  • systematic review
  • energy transfer
  • drug discovery
  • healthcare
  • mental health
  • monte carlo
  • current status
  • human health
  • quantum dots