[20a-C302-1~11] 12.5 Organic and hybrid solar cells

10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[20a-C302-7] Exploring Novel Hole-Transporting Materials for Perovskite Solar Cells by Deep Learning method

〇Naomu Sekiguchi¹, Satoshi Iikubo¹ (1.Kyushu Univ)

Keywords:

perovsekite solar cells,SAM,Deep Learning

In recent years, perovskite solar cells utilizing single molecules as hole transport materials have been reported to achieve high stability and power conversion efficiency. This study examines two types of single molecules: those with a framework containing anchoring groups and those with aromatic rings. These organic molecules are designed by combining anchoring groups with aromatic rings. We use deep learning to predict the HOMO/LUMO levels and identify potential candidates for hole transport materials. The proposed models are suggested to be effective for discovering novel hole transport materials.