Toward autonomous discovery in small-molecule organic photovoltaics: A review integrating artificial intelligence and machine learning within the molecular design landscape
| dc.contributor.author | Sania Ismaeel | |
| dc.contributor.author | Sidra Manzoor | |
| dc.contributor.author | Muhammad Sabir | |
| dc.date.accessioned | 2026-05-08T19:26:43Z | |
| dc.date.issued | 2026-4-6 | |
| dc.identifier.doi | 10.1016/j.orgel.2026.107424 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/20758 | |
| dc.publisher | Organic Electronics | |
| dc.subject | Machine Learning in Materials Science | |
| dc.subject | Organic Electronics and Photovoltaics | |
| dc.subject | Photochromic and Fluorescence Chemistry | |
| dc.title | Toward autonomous discovery in small-molecule organic photovoltaics: A review integrating artificial intelligence and machine learning within the molecular design landscape | |
| dc.type | Article |