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Transparent Photovoltaics for Self-Powered Bioelectronics and Neuromorphic Applications
Priyanka Bhatnagar1,2, Malkeshkumar Patel1,2, Thanh Tai Nguyen1,2
1Photoelectric and Energy Device Application Lab (PEDAL), Multidisciplinary Core Institute for Future Energies (MCIFE), Incheon National University, 119 Academy Road, Yeonsu, Incheon 22012, Republic of Korea.
The Journal of Physical Chemistry Letters
|December 23, 2021
Summary
Transparent photovoltaics offer a new platform for self-powered, energy-efficient neuromorphic devices. This innovation enables scalable sensory systems and advanced machine learning applications.
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Current computing platforms lack self-power and neuromorphic capabilities.
- A need exists for integrated energy harvesting and intelligent processing.
Purpose of the Study:
- To present transparent photovoltaics as a platform for self-sustainable neuromorphic systems.
- To enable scalable, multimodal sensory and learning functionalities.
Main Methods:
- Utilizing transparent photovoltaic devices for solar power harvesting.
- Implementing a solid-inorganic heterostructure for neuromorphic functionality.
Main Results:
- Demonstrated a strategy for transparent solar energy harvesting.
- Proposed a platform for versatile, sustainable, and integrated neuromorphic applications.
Conclusions:
- Transparent photovoltaics are key to developing self-powered neuromorphic devices.
- This platform supports biosensors, sensory systems, neuromorphic computing, and machine learning.
