Hot Carrier Transport and Carrier Multiplication Induced High Performance Vertical Graphene/Silicon Dynamic Diode Generator
Abstract: Dynamic semiconductor diode generators (DDGs) offer a potential portable and miniaturized energy source, with the advantages of high current density, low internal impedance, and independence of the rectification circuit. However, the output voltage of DDGs is generally as low as 0.1–1 V, owing to energy loss during carrier transport and inefficient carrier collection, which requires further optimization and a deeper understanding of semiconductor physical properties. Therefore, this study proposes a vertical graphene/silicon DDG to regulate the performance by realizing hot carrier transport and collection. With instant contact and separation of the graphene and silicon, hot carriers are generated by the rebounding process of built‐in electric fields in dynamic graphene/silicon diodes, which can be collected within the ultralong hot electron lifetime of graphene. In particular, monolayer graphene/silicon DDG outputs a high voltage of 6.1 V as result of ultrafast carrier transport between the monolayer graphene and silicon. Furthermore, a high current of 235.6 nA is generated due to the carrier multiplication in graphene. A voltage of 17.5 V is achieved under series connection, indicating the potential to supply electronic systems through integration design. The graphene/silicon DDG has applications as an in situ energy source for harvesting mechanical energy from the environment.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Hot Carrier Transport and Carrier Multiplication Induced High Performance Vertical Graphene/Silicon Dynamic Diode Generator ; day:23 ; month:05 ; year:2022 ; extent:10
Advanced science ; (23.05.2022) (gesamt 10)
- Creator
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Lu, Yanghua
Shen, Runjiang
Yu, Xutao
Yuan, Deyi
Zheng, Haonan
Yan, Yanfei
Liu, Chang
Yang, Zunshan
Feng, Lixuan
Li, Linjun
Lin, Shisheng
- DOI
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10.1002/advs.202200642
- URN
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urn:nbn:de:101:1-2022052415070987096446
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:35 AM CEST
Data provider
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Associated
- Lu, Yanghua
- Shen, Runjiang
- Yu, Xutao
- Yuan, Deyi
- Zheng, Haonan
- Yan, Yanfei
- Liu, Chang
- Yang, Zunshan
- Feng, Lixuan
- Li, Linjun
- Lin, Shisheng