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Enhanced photovoltaic property by forming p-i-n structures containing Si quantum dots/SiC multilayers
Yunqing Cao1, Peng Lu1, Xiaowei Zhang1
1National Laboratory of Solid State Microstructures and School of Electronic Science and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Nanoscale Research Letters
|December 10, 2014
Summary
Silicon quantum dots (Si QDs) embedded in SiC multilayers were successfully fabricated, achieving a 6.28% power conversion efficiency in a solar cell. These Si QDs/SiC multilayers exhibit promising optical and electronic properties for photovoltaic applications.
Area of Science:
- Materials Science
- Nanotechnology
- Solid State Physics
Background:
- Silicon quantum dots (Si QDs) offer tunable optical and electronic properties.
- SiC is a robust material suitable for semiconductor devices.
- Multilayer structures can enhance material performance.
Purpose of the Study:
- To fabricate Si QDs/SiC multilayers using annealing.
- To investigate the optical and carrier transport properties of the fabricated multilayers.
- To fabricate and test a solar cell device utilizing the Si QDs/SiC multilayers.
Main Methods:
- Fabrication of hydrogenated amorphous Si/SiC multilayers via plasma-enhanced chemical vapor deposition.
- Annealing of multilayers at 900°C to form Si QDs.
- Characterization using transmission electron microscopy and optical absorption spectroscopy.
- Fabrication of a p-i-n solar cell device with n-a-Si/i-(Si QDs/SiC multilayers)/p-Si structure.
Main Results:
- Formation of Si QDs observed after annealing at 900°C.
- Optical band gap of Si QDs/SiC multilayers determined to be 1.48 eV.
- A solar cell device achieved an open circuit voltage of 532 mV and a power conversion efficiency (PCE) of 6.28%.
Conclusions:
- Annealing of amorphous Si/SiC multilayers effectively produces Si QDs.
- The fabricated Si QDs/SiC multilayers exhibit suitable optical properties for solar cell applications.
- The developed p-i-n solar cell demonstrates viable performance with potential for further optimization.

