Deep neural networks for accurate predictions of crystal stability

HIGHLIGHTS

• who: Weike Ye from the University of California San Diego, Gilman Dr, Mail Code, La Jolla, CA, USA have published the paper: Deep neural networks for accurate predictions of crystal stability, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
• what: The authors propose to approach the crystal stability prediction problem by using artificial neural_networks (ANNs)15, i.e., algorithms that are loosely modeled on the animal brain, to quantify well-established chemical intuition. The authors show that ANNs using only the Pauling electronegativity26 and ionic radii27 of the constituent species as the input descriptors can achieve . . .
  

   

  

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