Development of Organic Semiconductor Materials for Organic Solar Cells via the Integration of Computational Quantum Chemistry and AI-Powered Machine Learning
The development of high-efficiency and stable organic solar cells (OSCs) relies on discovering organic semiconductor materials that efficiently absorb light and generate charge. Traditional experimental methods struggle to evaluate the vast array of potential materials, leading to a shift toward com...
الحاوية / القاعدة: | ACS APPLIED ENERGY MATERIALS |
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المؤلفون الرئيسيون: | Shafian, Shafidah; Salehin, Fitri Norizatie Mohd; Lee, Sojeong; Ismail, Azlan; Shuhidan, Shuhaida Mohamed; Xie, Lin; Kim, Kyungkon |
التنسيق: | Review |
اللغة: | English |
منشور في: |
AMER CHEMICAL SOC
2025
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001395567200001 |
مواد مشابهة
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Development of Organic Semiconductor Materials for Organic Solar Cells via the Integration of Computational Quantum Chemistry and AI-Powered Machine Learning
بواسطة: Shafian S.; Mohd Salehin F.N.; Lee S.; Ismail A.; Mohamed Shuhidan S.; Xie L.; Kim K.
منشور في: (2025) -
Development of Organic Semiconductor Materials for Organic Solar Cells via the Integration of Computational Quantum Chemistry and AI-Powered Machine Learning
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