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Synaptic and Fast Switching Memristance in Porous Silicon-Based Structures.
Vicente Torres-Costa1, Ermei Mäkilä2, Sari Granroth3
1Deptartamento de Física Aplicada and Centro de Micro-Análisis de Materiales, Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain. vicente.torres@uam.es.
Nanomaterials (Basel, Switzerland)
|June 5, 2019
Summary
Porous silicon offers a cost-effective material for developing practical memristors. Different processing methods yield distinct memristive behaviors, enabling synaptic or resistive switching applications.
Area of Science:
- Materials Science
- Solid State Physics
- Electronics Engineering
Background:
- Memristors are electronic components with conductance dependent on charge history.
- Synaptic and resistive switching memristors show promise for next-generation electronics.
- Developing low-cost, industry-compatible memristive materials is crucial for practical implementation.
Purpose of the Study:
- To investigate the memristive properties of differently processed porous silicon structures.
- To evaluate the suitability of porous silicon for various memristor applications.
- To demonstrate cost-effective material solutions for practical memristorics.
Main Methods:
- Fabrication of porous silicon structures using different processing techniques (laser carbonization, wet oxidation).
- Electrical characterization of memristive properties.
- SPICE simulations to model device behavior.
Main Results:
- Laser-carbonized porous silicon exhibits synaptic memristive behavior, influenced by defect diffusion.
- Wet-oxidized porous silicon demonstrates strong resistance switching properties with high switching ratios (>8000).
- Memristive properties are tunable via material processing.
Conclusions:
- Porous silicon is a promising, cost-effective material for fabricating practical memristors.
- Tailored processing of porous silicon enables distinct memristive functionalities (synaptic or resistive switching).
- Porous silicon can significantly contribute to the advancement of practical memristorics.
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