Tuning the band gap of perovskite oxides is key for achieving tailored electronic properties in transistors, LEDs, photovoltaics, and scintillators. Here, by exploring all chemical combinations of 68 elements, machine learning is used to identify and predict stable synthesizable cubic perovskites with desired band gap values.
- Anjana Talapatra
- Blas Pedro Uberuaga
- Ghanshyam Pilania