1. Theory

  • Definition: Temperature scaling makes compact-model parameters functions of device temperature, so one model card covers the operating range, typically -40 to 125 or wider (BSIM-BULK 106.2.0; background knowledge for the range).
  • Physical drivers: The band gap narrows and the intrinsic density rises steeply with temperature, phonon scattering lowers mobility and saturation velocity, and resistances change with their own coefficients (Ioffe; LIGO notes; BSIM-BULK 106.2.0).
  • Model forms: Compact models use simple laws referenced to a nominal temperature TNOM: linear or power-law shifts of threshold, power laws for mobility, and Arrhenius-type laws for saturation currents (BSIM-BULK 106.2.0; Diode Compact Models page).
  • Self-heating: The same equations are evaluated at the device temperature including self-heating, which is why temperature and thermal models are coupled (ASM-HEMT page; background knowledge).

2. Working Principle

  • Threshold voltage: A higher temperature moves the Fermi level toward midgap and lowers the threshold, captured by KT1 and its body-bias term KT2 (BSIM-BULK 106.2.0; background knowledge for the mechanism).
  • Mobility: More lattice vibration means more scattering, so with negative UTE (BSIM-BULK 106.2.0).
  • Competing effects: Falling threshold raises current and falling mobility lowers it, so a bias point exists where they cancel (background knowledge; computed).
  • Leakage: Junction and subthreshold leakage scale with or and grow by orders of magnitude over the range (Ioffe; computed).

3. Applications

  • Corner and temperature sign-off: Simulating circuits at -40, 25 and 125 with one card (background knowledge; BSIM-BULK 106.2.0).
  • Bias design: Choosing the ZTC overdrive for temperature-stable references and amplifiers (computed; background knowledge).
  • Leakage and standby power: Hot-chip leakage estimates (Ioffe; computed).
  • Extraction: Temperature parameters fitted after the room-temperature model, as in the extraction sequence on the Parameter Extraction Methods page (background knowledge).

Band Gap and Intrinsic Density

NameFormulaRelated FormulaeVariables/Constants
Band gap of silicon (Varshni form)



Effective densities of states and intrinsic density


MOSFET Temperature Parameters

NameFormulaRelated FormulaeVariables/Constants
Threshold and flat-band voltage





Mobility


Saturation velocity and series resistance



Bias Points and Junctions

NameFormulaRelated FormulaeVariables/Constants
Zero-temperature-coefficient bias point
Junction and bipolar saturation currents




Important Questions

Ques: Which band-gap formula for silicon should be used?

They differ only slightly. Ioffe gives and quotes 1.12 at 300 ; the LIGO notes use the same constants with ; SPICE uses . At 300 these give 1.1245, 1.1205 and 1.1151 (computed), a spread of 9 meV. The Ioffe and LIGO forms are the commonly cited Varshni fit for silicon (background knowledge), and their 300 value matches the quoted 1.12 best, so they are more likely accurate as physics; the SPICE form is kept for compatibility, because model cards are extracted with it. A 9 meV change in alters by about 20 per cent at 300 (computed). Reference: Ioffe Physico-Technical Institute, ‘Si - Silicon: Band structure and carrier concentration’, NSM semiconductor database (fetch-tool summary); ‘Carrier density of intrinsic semiconductors’, LIGO document T1500619 (calculation notes; author and date not stated) (fetch-tool summary); Diode Compact Models page of this vault.

Ques: Is the intrinsic carrier density of silicon at 300 K or below ?

The best modern value is just below . Ioffe quotes , but its own formulas, , and its band gap, give (computed). The LIGO notes, with effective masses of 1.08 and 0.81 free-electron masses, obtain . The widely used older value of came from early measurements and is now considered too high, and the accepted modern value, from Altermatt and others, is about (background knowledge). The calculated values therefore bracket the modern value from below, and is a rounded figure. Because currents scale as , using instead of overstates diffusion leakage by 2.3 times (computed). Reference: Ioffe Physico-Technical Institute, ‘Si - Silicon: Band structure and carrier concentration’, NSM semiconductor database (fetch-tool summary); ‘Carrier density of intrinsic semiconductors’, LIGO document T1500619 (calculation notes; author and date not stated) (fetch-tool summary).

Ques: How fast does leakage rise with temperature?

Very fast, because is exponential in . With Ioffe’s band gap and densities of states, rises from at 300 to at 310 and at 400 (computed), doubling every 8.6 . Diffusion leakage scales as , a factor 4.9 for 10 (computed), while generation leakage in depletion regions scales as (background knowledge). The SPICE diode law with XTI = 3 and EG = 1.11 gives a factor 4.4 over the same 10 (Diode Compact Models page). From 25 to 125 , diffusion leakage therefore rises by several orders of magnitude, which is why standby power is specified hot and why junction temperature limits power devices. Reference: Ioffe Physico-Technical Institute, ‘Si - Silicon: Band structure and carrier concentration’, NSM semiconductor database (fetch-tool summary); Diode Compact Models page of this vault.

Ques: How does BSIM model the threshold-voltage shift with temperature?

With a linear coefficient relative to TNOM. BSIM-BULK writes , with the flat-band voltage shifted by and temperature terms for the subthreshold factor and DIBL. With an assumed KT1 of -0.11 and KT1EXP = 1, the threshold falls by 36.7 from 300 to 400 , -0.37 (computed), a typical magnitude. The shift comes mainly from the Fermi potential, which moves toward midgap as rises (background knowledge). KT2 lets the coefficient depend on body bias, and KT1EXP allows curvature over wide ranges. The extract writes the body-bias variable as , read here as . In extraction, KT1 is fitted from linear-region curves of a large device at several temperatures, after the room-temperature parameters are fixed (background knowledge). Reference: H. Agarwal, C. Gupta, H.-L. Chang, S. Khandelwal, J. P. Duarte, Y. S. Chauhan, S. Salahuddin and C. Hu, ‘BSIM-BULK106.2.0 MOSFET Compact Model Technical Manual’, University of California, Berkeley (2017), Section 5.1 (band-gap and junction subsections not in the extract) (fetch-tool summary).

Ques: Why does MOSFET drain current rise with temperature at low gate drive but fall at high gate drive?

Because two effects compete. Mobility falls, as with negative UTE in BSIM-BULK, lowering the current at all biases, while the threshold voltage falls, raising the overdrive. In the square law the two cancel at an overdrive of (background knowledge, computed derivation). For UTE = -1.5 this is 0.40 with 1 and 0.15 with 0.37 (computed). Below this zero-temperature-coefficient point the current rises with temperature, which can cause thermal runaway in parallel devices; above it the current falls, so power MOSFETs and digital gates slow down when hot. Analog designers bias near the ZTC point when temperature stability matters. Reference: H. Agarwal, C. Gupta, H.-L. Chang, S. Khandelwal, J. P. Duarte, Y. S. Chauhan, S. Salahuddin and C. Hu, ‘BSIM-BULK106.2.0 MOSFET Compact Model Technical Manual’, University of California, Berkeley (2017), Section 5.1 (band-gap and junction subsections not in the extract) (fetch-tool summary).

Ques: Is saturation-velocity scaling a power law or linear?

It depends on the model generation. BSIM-BULK 106.2.0 uses , a power law in which AT is an exponent, and power laws for the series resistance with PRT and for mobility with UTE. BSIM4 uses linear forms, with AT in metres per second and (background knowledge). The two are not a disagreement about physics but different parameterizations, so an AT value cannot be copied between them: in BSIM4 a typical AT of is a velocity, while a BSIM-BULK AT is dimensionless (background knowledge for the typical value). Over 300 to 400 , a power law with AT = 0.5 and a linear law matching it at both ends differ by under 1 per cent in between (computed), so both describe the data; the power law stays positive at any temperature. Reference: H. Agarwal, C. Gupta, H.-L. Chang, S. Khandelwal, J. P. Duarte, Y. S. Chauhan, S. Salahuddin and C. Hu, ‘BSIM-BULK106.2.0 MOSFET Compact Model Technical Manual’, University of California, Berkeley (2017), Section 5.1 (band-gap and junction subsections not in the extract) (fetch-tool summary).

References

  1. Ioffe Physico-Technical Institute, “Si - Silicon: Band structure and carrier concentration,” NSM Archive, Physical Properties of Semiconductors. Available: https://www.ioffe.ru/SVA/NSM/Semicond/Si/bandstr.html
  2. “Carrier density of intrinsic semiconductors,” LIGO Document T1500619 (author and date not stated). Available: https://dcc-llo.ligo.org/public/0123/T1500619/001/CarrierDensityIntrinsicSi.pdf
  3. H. Agarwal, C. Gupta, H.-L. Chang, S. Khandelwal, J. P. Duarte, Y. S. Chauhan, S. Salahuddin and C. Hu, “BSIM-BULK106.2.0 MOSFET Compact Model Technical Manual,” University of California, Berkeley, 2017. Available: https://simetrix.co.uk/supplementary/Docs/BSIM-BULK/BSIM-BULK_106.2.0_technical_manual.pdf

Related pages in this vault: Parameter Extraction Methods, Diode Compact Models, ASM-HEMT Model, Process Corners and Statistical Models, Ebers-Moll and Gummel-Poon Models, Thermal and Electro-Thermal Simulation, TCAD Mobility Models, BSIM3 and BSIM4, Temperature Acceleration Models (Arrhenius and Eyring), Thin-Film Metal Resistors (TaN, NiCr and SiCr).