into YYYY process, which in turn should allow ZZZZ to be simulated. If successful, this could make it possible to
produce compound AAAA while avoiding expensive process BBBB and CCCC."
Over the last decade Behler-Parrinello symmerty functions [Behler2007]_ have been successfully applied to a wide variety of problems. Beside their key role in Neural Network Potential fitting they have also used for neural network based bond-order paramters [Geiger2013]_.
Over the last decade Behler-Parrinello symmerty functions [Behler2007]_ have been successfully applied to a wide variety of problems. Beside their key role in Neural Network Potential fitting they have also used for neural network based bond-order parameters [Geiger2013]_.
.. [Behler2007] J. Behler and M. Parrinello, Phys. Rev. Lett. 98, 146401 (2007)
.. [Geiger2013] P. Geiger and Ch. Dellago, J. Chem. Phys. 139, 164105 (2013)