This  NSF DMREF  project  has  demonstrated  an alternative  avenue  for  the  prediction  of  new topological  materials  from  simple  spectroscopic features,   addressing   the   NSF DMREF   value   of “significantly  accelerate  materials  discovery  and development”. In particular, the synergy of machine-learning  modeling  with  the  experimental  validation addresses   the   NSF DMREF   concept   to   “work synergistically  in  a  closed  loop  fashion.”  The broadening  of  materials  candidates  further  supports the  NSF DMREF  mission  to  foster  the  “translation  of materials research toward application”.