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Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning
| dc.contributor.author | Hartono, Noor Titan Putri | |
| dc.contributor.author | Thapa, Janak | |
| dc.contributor.author | Tiihonen, Armi | |
| dc.contributor.author | Oviedo, Felipe | |
| dc.contributor.author | Batali, Clio | |
| dc.contributor.author | Yoo, Jason J | |
| dc.contributor.author | Liu, Zhe | |
| dc.contributor.author | Li, Ruipeng | |
| dc.contributor.author | Marron, David Fuertes | |
| dc.contributor.author | Bawendi, Moungi G | |
| dc.contributor.author | Buonassisi, Tonio | |
| dc.contributor.author | Sun, Shijing | |
| dc.date.accessioned | 2021-12-14T19:55:16Z | |
| dc.date.available | 2021-12-14T19:55:16Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/138483 | |
| dc.description.abstract | © 2020 IEEE. After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called 'capping layer', consisting of low dimensional (LD) perovskite, sandwiched between perovskite absorber and hole transport layer. However, there is no conclusive agreement on how to select capping layer material that best extends the stability. By using feature importance rank on the regression models, we can start to see which molecular properties on capping layer have significant impact in suppressing degradation. | en_US |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/PVSC45281.2020.9300622 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | DOE repository | en_US |
| dc.title | Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Hartono, Noor Titan Putri, Thapa, Janak, Tiihonen, Armi, Oviedo, Felipe, Batali, Clio et al. 2020. "Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning." Conference Record of the IEEE Photovoltaic Specialists Conference, 2020-June. | |
| dc.relation.journal | Conference Record of the IEEE Photovoltaic Specialists Conference | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2021-12-14T19:43:56Z | |
| dspace.orderedauthors | Hartono, NTP; Thapa, J; Tiihonen, A; Oviedo, F; Batali, C; Yoo, JJ; Liu, Z; Li, R; Marron, DF; Bawendi, MG; Buonassisi, T; Sun, S | en_US |
| dspace.date.submission | 2021-12-14T19:43:58Z | |
| mit.journal.volume | 2020-June | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
