Nature Communications (Feb 2022)

Inverse design of 3d molecular structures with conditional generative neural networks

  • Niklas W. A. Gebauer,
  • Michael Gastegger,
  • Stefaan S. P. Hessmann,
  • Klaus-Robert Müller,
  • Kristof T. Schütt

DOI
https://doi.org/10.1038/s41467-022-28526-y
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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The targeted discovery of molecules with specific structural and chemical properties is an open challenge in computational chemistry. Here, the authors propose a conditional generative neural network for the inverse design of 3d molecular structures.