Corrigendum to “Bandgap energy prediction of senary zincblende III-V semiconductor compounds using machine learning” [Mater. Sci. Semicond. Process. 161 (2023) 107461] (Materials Science in Semiconductor Processing (2023) 161, (S1369800123001543), (10.1016/j.mssp.2023.107461))

  • Mohammed Alsalman
  • , Saad M. Alqahtani
  • , Fahhad H. Alharbi*
    • *Corresponding author for this work

Research output: Contribution to journal › Comment/debate

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