Exploring Data Augmentation and Dimension Reduction Opportunities for Predicting the Bandgap of Inorganic Perovskite through Anion Site Optimization

M. Shaheer Akhtar

Exploring Data Augmentation and Dimension Reduction Opportunities for Predicting the Bandgap of Inorganic Perovskite through Anion Site Optimization

M. Shaheer Akhtar

Graduate School of Intergrated Physical-AI

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	Photonics
State	Published - 2023.11.3

Cite this

@article{1813aba5b59c481fa94956c9eac443b0,

title = "Exploring Data Augmentation and Dimension Reduction Opportunities for Predicting the Bandgap of Inorganic Perovskite through Anion Site Optimization",

author = "Akhtar, \{M. Shaheer\}",

year = "2023",

month = nov,

day = "3",

language = "Korean",

journal = "Photonics",

issn = "2304-6732",

}