Method for optimizing energy conversion efficiency in organic solar cells by using artificial intelligence technologies, involves selecting optimal donor and acceptor materials for organic solar cells based on machine learning models trained on extensive material property datasets
2024-12-11
专利权人VASU V K (VASU-Individual) ; THIYAGARAJAN M (THIY-Individual) ; NISHA A B (NISH-Individual) ; VIJAYALAKSHMI P (VIJA-Individual) ; SENTHILNATHAN A (SENT-Individual) ; KALPANA N (KALP-Individual) ; PRIYA S (PRIY-Individual) ; VANI E (VANI-Individual) ; PALANIVEL P (PALA-Individual) ; KAMBLE P D (KAMB-Individual)
申请日期2024-12-11
专利号IN202421098026-A
成果简介NOVELTY - The method involves predicting and selecting optimal donor and acceptor materials for organic solar cells (OSCs) based on machine learning models trained on extensive material property datasets, where features comprise absorption spectrum, energy levels, and charge mobility for precise material screening. Structural configuration of OSCs is optimized, where the structural configuration includes layer thicknesses, active layer composition, and electrode design. OSC performance metrics are monitored, where the OSC performance metrics include current density, open-circuit voltage, and a fill factor in real-time. USE - Method for optimizing energy conversion efficiency in organic solar cells by using artificial intelligence (AI) technologies. ADVANTAGE - The method enables enhancing efficiency of the organic solar cell. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a method for optimizing energy conversion efficiency in organic solar cells by using AI technologies.
IPC 分类号B32B-037/10 ; G06F-009/451 ; G06N-020/00 ; G06N-003/063 ; H10K-085/10
国家印度
专业领域材料科学
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/14138
专题中国科学院新疆生态与地理研究所
作者单位
1.VASU V K (VASU-Individual)
2.THIYAGARAJAN M (THIY-Individual)
3.NISHA A B (NISH-Individual)
4.VIJAYALAKSHMI P (VIJA-Individual)
5.SENTHILNATHAN A (SENT-Individual)
6.KALPANA N (KALP-Individual)
7.PRIYA S (PRIY-Individual)
8.VANI E (VANI-Individual)
9.PALANIVEL P (PALA-Individual)
10.KAMBLE P D (KAMB-Individual)
推荐引用方式
GB/T 7714
VASU V K,THIYAGARAJAN M,NISHA A B,et al. Method for optimizing energy conversion efficiency in organic solar cells by using artificial intelligence technologies, involves selecting optimal donor and acceptor materials for organic solar cells based on machine learning models trained on extensive material property datasets. IN202421098026-A[P]. 2024.
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