Computerized prediction of perovskite performance using deep learning

HIGHLIGHTS

  • who: Hanan A. Hosni Mahmoud from the Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the article: Computerized Prediction of Perovskite Performance Using Deep Learning, in the Journal: Electronics 2022, 11, x FOR PEER REVIEW of /2022/
  • what: This research explores the challenges of developing new perovskite solar cells with high performance. The authors propose a transfer learning perovskites model. The authors are proposing a model for detecting performance, em- the authors explore computerized procedures that employ imaging technology with computerized ploying . . .

     

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