Machine Learning-Based Quantitative Structure–Property Relationships for the Electronic Properties of Cyano Polycyclic Aromatic Hydrocarbons
| العنوان: | Machine Learning-Based Quantitative Structure–Property Relationships for the Electronic Properties of Cyano Polycyclic Aromatic Hydrocarbons |
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| المؤلفون: | Tuan H. Nguyen, Khang M. Le, Lam H. Nguyen, Thanh N. Truong |
| المصدر: | ACS Omega. 8:464-472 |
| بيانات النشر: | American Chemical Society (ACS), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | General Chemical Engineering, General Chemistry |
| تدمد: | 2470-1343 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::c2051367b2215f3350d24b2d77a853ca https://doi.org/10.1021/acsomega.2c05159 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........c2051367b2215f3350d24b2d77a853ca |
| قاعدة البيانات: | OpenAIRE |
Find this issue from the American Chemical Society | تدمد: | 24701343 |
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