Surface Potential Calculator

Compute the magnitude of the strong-inversion MOS surface potential, 2 phi-F, from substrate doping, intrinsic carrier concentration, and temperature.

Description

Compute the magnitude of the strong-inversion MOS surface potential, 2 phi-F, from substrate doping, intrinsic carrier concentration, and temperature.

Surface Potential Calculator is a focused tool for the following task. Compute the magnitude of the strong-inversion MOS surface potential, 2 phi-F, from substrate doping, intrinsic carrier concentration, and temperature. It reports Surface potential from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.

When to use Surface Potential

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

Doping concentration (cm^-3)
Required number in cm^-3. Substrate doping concentration.
Temperature (K)
Optional number in K. Absolute device temperature.
Intrinsic concentration (cm^-3)
Required number in cm^-3. Intrinsic carrier concentration.

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

How Surface Potential works

Compute the magnitude of the strong-inversion MOS surface potential, 2 phi-F, from substrate doping, intrinsic carrier concentration, and temperature. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.

Surface potential (V)
Returned number in V. Strong-inversion surface potential psi_s.

Limitations and assumptions

  • Material composition, geometry, process history, temperature, electric field, bias, interfaces, parasitics, and fitted parameter ranges can invalidate a compact semiconductor model.
  • Doping concentration must be at least 0.
  • Intrinsic concentration must be at least 0.
  • 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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