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Possibility of information encoding/decoding using the memory effect in fractional-order capacitive devices
Anis Allagui1,2,3, Ahmed S Elwakil4,5,6
1Department of Sustainable and Renewable Energy Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates. aallagui@sharjah.ac.ae.
Scientific Reports
|June 26, 2021
Summary
Supercapacitors with fractional-order behavior show discharge patterns dependent on their charging history. This material memory effect enables information storage and retrieval, opening new possibilities for data processing.
Area of Science:
- Materials Science
- Electrical Engineering
- Applied Mathematics
Background:
- Supercapacitors store energy via electrochemical processes.
- Fractional-order dynamics describe systems with memory effects.
- Understanding charge/discharge behavior is crucial for device performance.
Purpose of the Study:
- To investigate the history-dependence of supercapacitor discharge voltage.
- To explore the potential for information storage using material memory.
- To develop a fractional calculus-based model for this phenomenon.
Main Methods:
- Applied a power-law voltage function for supercapacitor charging.
- Analyzed discharge voltage patterns under constant resistance load.
- Developed an analytical model using fractional calculus.
Main Results:
- Discharge voltage patterns were found to be dependent on the charging voltage profile.
- Information encoded in the charging waveform was successfully retrieved.
- A fractional calculus model phenomenologically explained the information storage mechanism.
Conclusions:
- Supercapacitors with fractional-order behavior exhibit intrinsic material memory.
- This memory effect can be leveraged for novel information storage and retrieval methods.
- Fractional calculus provides a framework for understanding and utilizing this memory.
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