Accurate prediction of tensorial spectra using equivariant graph neural network

Accurate prediction of tensorial spectra using equivariant graph neural network

Modeling full tensorial optical responses of crystalline materials is computationally demanding. Here, the authors introduce TSENN, an equivariant graph neural network that predicts symmetry-consistent, frequency-dependent optical tensors directly from crysta…

  • Fox, M. Optical Properties of Solids (Oxford University Press, 2010).
  • Tanner, D. B. Optical Effects in Solids (Cambridge University Press, 2019).
  • Lucarini, V., Saarinen, J. J.… [+11111 chars]

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