A physics-based compact model for simulating interface-type resistive switching in metal/IGZO Schottky diode memristors. This model captures the bottom electrode (BE) charge trapping mechanism that modulates the Schottky barrier height.
The CTM implements interface-type resistive switching based on charge trapping at the metal/oxide interface:
Following Mikheev et al. (2014), the barrier height is modulated by interface trapped charge:
Where:
-
$\Phi_M$ = metal work function (eV) -
$\chi$ = semiconductor electron affinity (eV) -
$n_0$ = trap density (m⁻³) -
$h$ = interaction radius (m) -
$x$ = charge centroid distance (m)
The SBH varies between:
-
HRS (Q=0):
$SBH_{max} = \Phi_{B,0} + \Delta\Phi_{max}$ -
LRS (Q=1):
$SBH_{min} = \Phi_{B,0} - \Delta\Phi_{max}$
Direction-based time constants capture asymmetric trapping/detrapping dynamics:
Where
Thermionic emission with image-force barrier lowering:
The model is implemented as an interactive Streamlit web application (be_trap_physics_model_v3.py).
streamlit run be_trap_physics_model_v3.py- Interactive parameter control: Adjust material properties, device geometry, and trapping kinetics in real-time
- Material presets: Pre-configured parameters for W/IGZO, Pd/IGZO, and Mo/IGZO interfaces
- Physics validation: Automatic detection of unphysical parameter combinations (e.g., negative SBH)
- Visualization:
- Linear and semilog I-V characteristics
- SBH, charge state, and effective tau evolution
- Two-cycle hysteresis loops
- Data export: Download simulation results as CSV
| Category | Parameters |
|---|---|
| Materials | Metal work function (Φ_M), semiconductor affinity (χ) |
| Device | Oxide thickness, permittivity, device area, series resistance |
| Trapping | Trap density (n₀), interaction radius (h), charge centroid (x) |
| Kinetics | τ₀_set, τ₀_reset, voltage acceleration (γ), V_scale |
| Simulation | Max voltage, sweep rate, time step, temperature |
This model is discussed in Chapter 3: Compact Modelling of Interface-Type Memristors of the thesis "Interface-Engineered Memristors for Neuromorphic Computing." It provides the theoretical framework for understanding experimental I-V characteristics of IGZO-based memristors fabricated at Cambridge.
The physics implemented here—interface charge trapping modulating a Schottky barrier—represents a non-filamentary switching mechanism distinct from traditional conductive filament-based RRAM.
streamlit
numpy
pandas
scipy
plotly
- Mikheev, E. et al. (2014). Resistive switching and its suppression in Pt/Nb:SrTiO₃ junctions. Nature Communications, 5, 3990.