Inverse Structural Design of Graphene/Boron Nitride Hybrids by Regressional GAN

21 Aug 2019 Yuan Dong Dawei Li Chi Zhang Chuhan Wu Hong Wang Ming Xin Jianlin Cheng Jian Lin

Inverse design of materials with desired properties is currently laborious and heavily relies on intuition of researchers through a trial-and-error process. The massive combinational spaces due to the constituent elements and their structural configurations are too overwhelming to be all searched even by high-throughput computations... (read more)

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  • COMPUTATIONAL PHYSICS
  • MATERIALS SCIENCE
  • APPLIED PHYSICS