SRAM Static Noise Margin Calculator

Calculate the limiting static noise margin from the low and high input and output levels of an SRAM inverter voltage-transfer characteristic.

Description

Calculate the limiting static noise margin from the low and high input and output levels of an SRAM inverter voltage-transfer characteristic.

SRAM Static Noise Margin Calculator is a focused tool for the following task. Calculate the limiting static noise margin from the low and high input and output levels of an SRAM inverter voltage-transfer characteristic. It reports Low noise margin, High noise margin, Static noise margin from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.

When to use SRAM Static Noise Margin

Use this semiconductor calculation for first-order device, material, fabrication, interconnect, packaging, or reliability estimates when every coefficient and unit convention is known.

Maximum low input (V)
Required number in V. Maximum input voltage still interpreted as logic low.
Maximum low output (V)
Required number in V. Maximum output voltage guaranteed for logic low.
Minimum high output (V)
Required number in V. Minimum output voltage guaranteed for logic high.
Minimum high input (V)
Required number in V. Minimum input voltage interpreted as logic high.

The cited overview of Semiconductor device supplies background for the terminology and domain context used by this tool.1

How SRAM Static Noise Margin works

Calculate the limiting static noise margin from the low and high input and output levels of an SRAM inverter voltage-transfer characteristic. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.

Low noise margin (V)
Returned number in V.
High noise margin (V)
Returned number in V.
Static noise margin (V)
Returned number in V. Smaller of the low and high static noise margins.

Limitations and assumptions

  • Material composition, geometry, process history, temperature, electric field, bias, interfaces, parasitics, and fitted parameter ranges can invalidate a compact semiconductor model.
  • Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.

Alternative or Complementary approaches

Compare the estimate with measured process data, current device documentation, and a higher-fidelity circuit, field, thermal, quantum, or TCAD model when the decision requires it.

References

  1. Semiconductor device — Wikipedia contributors

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