Machine learning enabled characterization of charge transport in organic semiconducting devices
While organic semiconducting materials have found immense potential in device applications such as field-effect transistors and photovoltaics in the past few decades, the mechanism of charge transport in these devices has not been fully understood. A scrutiny of the existing models suggests that the...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/161878 |