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Compliance-free, analog RRAM devices based on SnOx
Suresh Kumar Garlapati1, Firman Mangasa Simanjuntak2, Spyros Stathopoulos3
1Department of Materials Science and Metallurgical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, 502285, India. gsuresh@msme.iith.ac.in.
Scientific Reports
|June 19, 2024
Summary
Tin oxide (SnOₓ) shows promise for brain-inspired resistive random-access memory (RRAM), offering compliance-free analog switching. These devices exhibit multiple stable states, ideal for advanced memory applications.
Area of Science:
- Materials Science
- Electrical Engineering
- Computer Engineering
Background:
- Resistive random-access memory (RRAM) is a promising alternative to conventional flash memory, offering superior performance, density, and lower power consumption.
- Metal oxides are widely explored as resistive switching materials for RRAM devices, yet tin oxide (SnOₓ) remains understudied despite its excellent electronic properties.
Purpose of the Study:
- To investigate the resistive switching behavior of tin oxide (SnOₓ) in Ti/Pt/SnOₓ/Pt RRAM devices.
- To demonstrate compliance-free analog switching with multiple stable states using SnOₓ as the active material.
Main Methods:
- Fabrication of Ti/Pt/SnOₓ/Pt RRAM devices using sputtering techniques.
- Modulation of SnOₓ film resistance by varying the Ar/O₂ ratio during deposition.
- Characterization of device performance including current-voltage (I-V) characteristics, retention, and endurance.
Main Results:
- Demonstrated compliance-free analog resistive switching with multiple stable states in Ti/Pt/SnOₓ/Pt devices.
- Observed bipolar memristive switching mechanism with distinct high resistance states (HRS) and low resistance states (LRS).
- Achieved eleven distinct resistance states by varying pulse amplitude and width, confirming analog switching.
Conclusions:
- Tin oxide (SnOₓ) is a viable material for developing high-performance, analog RRAM devices.
- The compliance-free nature and multi-state capability of SnOₓ RRAM offer significant advantages for neuromorphic computing and advanced memory systems.
- The devices exhibit excellent retention and endurance, highlighting their potential for practical applications.

