Machine Learning Drives a Path to Defect Engineering for Suppressing Nonradiative Recombination Losses in CuZnSn(S,Se) Solar Cells

Article (Web of Science)

• cited authors: Karade, Vijay C.; Gour, Kuldeep Singh; He, Mingrui; Jang, Junsung; Enkhbat, Temujin; Lee, Minwoo; Kim, Junho; Sutar, Santosh S.; Dongale, Tukaram D.; Ellingson, Randy J.; Yun, Jae Sung; Kim, Jin Hyeok; Park, Jongsung
• publication date: June 6, 2025
• webpage: Web of Science
• published in: ACS APPLIED MATERIALS & INTERFACES Journal
• category: MATERIALS SCIENCE, MULTIDISCIPLINARY Category

keywords

• CZTSSe
• incorporation
• kesterite
• machine learning
• solar cell

• start page: 35382
• end page: 35395
• volume: 17
• issue: 24