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Visible Light-Modulated Low-Power Resistive Switching in Perovskite Nickelate Photovoltaic Heterostructures
Yanan Zhao1, Zicong Zhou1, Xuhui Zhu1
1State Key Laboratory for Manufacturing Systems Engineering, Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education, Engineering Research Center of Spin Quantum Sensor Chips, Universities of Shaanxi Province, School of Electronic Science and Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Researchers developed visible light-modulated resistive switching in NdNiO3 photovoltaic heterostructures. This low-power material enables rapid, tunable switching for advanced electronic memory and computing applications.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Nanotechnology
Background:
- Growing demand for data storage necessitates advanced materials with low power consumption and fast resistive switching.
- Perovskite nickelates offer unique metal-insulator transitions ideal for resistive switching, but traditional methods face energy and hysteresis issues.
Purpose of the Study:
- To demonstrate visible light-modulated metal-insulator transitions in NdNiO3 photovoltaic heterostructures.
- To explore low-power, rapid, and tunable resistive switching for optoelectronic memory and neuromorphic computing.
Main Methods:
- Fabrication of NdNiO3 photovoltaic heterostructures.
- Modulation of metal-insulator transition using visible light illumination (20 mW·cm−2).
- Analysis of resistivity switching, photoinduced electron doping, and Ni 3d-orbital reconstruction.
Main Results:
- Achieved 2 orders of magnitude resistivity switching under low-intensity visible light.
- Demonstrated photoinduced electron doping leading to metallic behavior.
- Integrated multilevel resistive switching with high state reproducibility via light intensity and temperature control.
Conclusions:
- NdNiO3 photovoltaic heterostructures provide a novel platform for low-power optoelectronic memory.
- Visible light modulation offers an energy-efficient strategy for resistive switching.
- The developed system shows promise for future neuromorphic computing applications.
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