Author
Listed:
- Hareem Khan
(RMIT University)
- Nasir Mahmood
(RMIT University)
- Ali Zavabeti
(RMIT University
The University of Melbourne)
- Aaron Elbourne
(RMIT University)
- Md. Ataur Rahman
(RMIT University)
- Bao Yue Zhang
(RMIT University)
- Vaishnavi Krishnamurthi
(RMIT University)
- Paul Atkin
(RMIT University)
- Mohammad B. Ghasemian
(University of New South Wales (UNSW))
- Jiong Yang
(University of New South Wales (UNSW))
- Guolin Zheng
(RMIT University)
- Anil R. Ravindran
(RMIT University
Deakin University)
- Sumeet Walia
(RMIT University
RMIT University)
- Lan Wang
(RMIT University)
- Salvy P. Russo
(RMIT University)
- Torben Daeneke
(RMIT University)
- Yongxiang Li
(RMIT University)
- Kourosh Kalantar-Zadeh
(University of New South Wales (UNSW))
Abstract
The predicted strong piezoelectricity for monolayers of group IV monochalcogenides, together with their inherent flexibility, makes them likely candidates for developing flexible nanogenerators. Within this group, SnS is a potential choice for such nanogenerators due to its favourable semiconducting properties. To date, access to large-area and highly crystalline monolayer SnS has been challenging due to the presence of strong inter-layer interactions by the lone-pair electrons of S. Here we report single crystal across-the-plane and large-area monolayer SnS synthesis using a liquid metal-based technique. The characterisations confirm the formation of atomically thin SnS with a remarkable carrier mobility of ~35 cm2 V−1 s−1 and piezoelectric coefficient of ~26 pm V−1. Piezoelectric nanogenerators fabricated using the SnS monolayers demonstrate a peak output voltage of ~150 mV at 0.7% strain. The stable and flexible monolayer SnS can be implemented into a variety of systems for efficient energy harvesting.
Suggested Citation
Hareem Khan & Nasir Mahmood & Ali Zavabeti & Aaron Elbourne & Md. Ataur Rahman & Bao Yue Zhang & Vaishnavi Krishnamurthi & Paul Atkin & Mohammad B. Ghasemian & Jiong Yang & Guolin Zheng & Anil R. Ravi, 2020.
"Liquid metal-based synthesis of high performance monolayer SnS piezoelectric nanogenerators,"
Nature Communications, Nature, vol. 11(1), pages 1-8, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17296-0
DOI: 10.1038/s41467-020-17296-0
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Cited by:
- Poudel, Sachin & Thapa, Rubi & Basnet, Rabin & Timofiejczuk, Anna & Kunwar, Anil, 2024.
"PiezoTensorNet: Crystallography informed multi-scale hierarchical machine learning model for rapid piezoelectric performance finetuning,"
Applied Energy, Elsevier, vol. 361(C).
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