FinFET, Gate-All-Around & SOI Transistors
Modern transistor architectures. Learn why planar bulk MOSFETs ran out of electrostatic control, the natural length λ and how multiple gates shrink it, fully-depleted SOI (FD-SOI) and partially-depleted SOI with back-gate biasing, FinFET/tri-gate structure (fin height, width, pitch, quantised width), GAA nanosheets and nanowires (stacked sheets, variable width, forksheet and CFET concepts), advantages (subthreshold swing, DIBL, variability, leakage) and limitations (parasitic capacitance/resistance, self-heating, process complexity), SOI for RF and radiation-hard applications — with Python comparing natural lengths and effective widths for planar, FinFET and GAA devices.
The cure for short-channel effects is geometric: make the channel thin and wrap the gate around it, so every part of the channel is close to the gate and far from the drain's influence.
SOI thinned the body; FinFETs stood it on edge and gated three sides; gate-all-around nanosheets gate all four sides — each step shrinking the electrostatic scale length and allowing shorter gates.
An analogy
Controlling a channel with a planar gate is like steering a wide river with a dam on one bank; a FinFET is a narrow canal with walls on three sides; a gate-all-around device is a pipe with a valve surrounding it completely — the tightest control.
SOI
Silicon-on-insulator places devices in a thin silicon film on buried oxide (BOX). Partially depleted SOI (thicker film) cuts junction capacitance but has floating-body effects (kinks, history effects). Fully depleted SOI (film < depletion width, ~5–10 nm) gives excellent electrostatics, low variability (undoped channel) and a back gate for dynamic V_T tuning — attractive for low-power IoT, RF and radiation-hard designs (smaller sensitive volume, no latch-up).
FinFET
Key features:
- Undoped or lightly doped fin → less random-dopant variability, higher mobility
- Gate on three sides → steep swing (~65–70 mV/dec), low DIBL
- Drive width set by fin count → width quantisation for analog/SRAM sizing
- High parasitic capacitance between gate and raised S/D contacts
- Self-heating: heat escapes poorly through the narrow fin
Gate-all-around nanosheets
Stacking horizontal sheets and removing a sacrificial SiGe layer lets the gate wrap all sides. Sheet width can vary per device (continuous sizing), drive per footprint increases, and electrostatics improve further for gate lengths near 12–15 nm. Challenges: inner spacers, channel release, variability of sheet thickness, parasitics, and thermal management. Next concepts: forksheets (dielectric wall between n and p sheets) and complementary FETs (CFET, n over p) with backside power delivery.
Design implications
Discrete widths change analog design (fins as the unit), SRAM ratios and standard-cell heights (track counts). Layout-dependent effects, local interconnect, self-heating and reliability (BTI, HCI in confined geometries) need careful modelling (BSIM-CMG, BSIM-IMG compact models). DTCO co-optimises cell architecture with process options.
Formulas
- Natural length:
λ_n = √((ε_si/(N·ε_ox))·t_si·t_ox), N ≈ 1 (single), 2 (double/fin), ~4 (GAA) - Design rule:
L_g ≳ 5–6λ_n for good electrostatics - FinFET width:
W_eff = N_fin(2H_fin + W_fin) — quantised - Nanosheet width:
W_eff = N_sheets·(2W_sheet + 2T_sheet) — adjustable - FD-SOI back bias:
ΔV_T ≈ −(C_BOX/C_ox)·ΔV_back (tens of mV/V)
Worked example: Fin count
Given: Need W_eff 400 nm, H_fin 50, W_fin 7 nm
Find: Fins.
- 400/107
Answer: 4 fins (428 nm)
Worked example: Natural length
Given: GAA t_si 6 nm, EOT 0.8 nm
Find: λ_n.
- √((11.7/(4 × 3.9)) × 6 × 0.8) = √3.6
Answer: ≈ 1.9 nm
Worked example: Back-bias
Given: C_BOX/C_ox ≈ 0.08, ΔV_back 1 V
Find: ΔV_T.
- −0.08 × 1
Answer: ≈ −80 mV
Planar → FD-SOI → FinFET → GAA
Planar bulk FD-SOI FinFET (tri-gate) GAA nanosheets
═══ gate ═══ gate ┌─gate─┐ ┌═══════┐ sheet 1
─── channel ─── thin Si 7 nm │ fin │ H 50 nm ├═══════┤ sheet 2
bulk Si ███ BOX (25 nm) │ W 7 │ ├═══════┤ sheet 3
substrate (back gate)└──────┘ on bulk/STI └═══════┘ gate everywhere
Control: 1 side 1 side + thin body 3 sides 4 sidesEach architecture reduces how far any point in the channel is from a gate. FD-SOI uses an ultra-thin fully depleted film over buried oxide (plus back-bias tuning); FinFETs gate three sides of a vertical fin; GAA nanosheets wrap the gate around horizontal sheets stacked vertically.
Natural length and effective width
import math
# Electrostatic scale length for planar bulk, FinFET and gate-all-around; effective widths
eps_si, eps_ox = 11.7, 3.9
def lam(tsi, tox, n):
return math.sqrt(eps_si / (n * eps_ox) * tsi * tox)
tox = 1.0 # EOT nm
cases = {"planar (depth 10 nm, 1 gate)": (10, 1), "FinFET (fin 7 nm, 2 gates)": (7, 2), "GAA sheet (5 nm, ~4 gates)": (5, 4)}
for name, (t, n) in cases.items():
l = lam(t, tox, n)
print(f"{name:30s}: natural length {l:.2f} nm -> good control for Lg > ~{5*l:.0f} nm (5x lambda)")
Hfin, Wfin, pitch = 50, 7, 30
print(f"FinFET effective width per fin = 2H + W = {2*Hfin+Wfin} nm in a {pitch} nm footprint ({(2*Hfin+Wfin)/pitch:.1f}x planar)")
sheets, Wsh, Tsh = 3, 30, 5
print(f"GAA: {sheets} sheets x (2W + 2T) = {sheets*(2*Wsh+2*Tsh)} nm effective width, tunable by sheet width")
# planar (depth 10 nm, 1 gate) : natural length 5.48 nm -> good control for Lg > ~27 nm (5x lambda)
# FinFET (fin 7 nm, 2 gates) : natural length 3.24 nm -> good control for Lg > ~16 nm (5x lambda)
# GAA sheet (5 nm, ~4 gates) : natural length 1.94 nm -> good control for Lg > ~10 nm (5x lambda)
# FinFET effective width per fin = 2H + W = 107 nm in a 30 nm footprint (3.6x planar)
# GAA: 3 sheets x (2W + 2T) = 210 nm effective width, tunable by sheet widthWith 1 nm EOT, the natural length falls from 5.5 nm (planar, 10 nm-deep effective channel) to 3.2 nm (FinFET) to 1.9 nm (GAA), allowing gate lengths around 27, 16 and 10 nm respectively with good control. A 50 nm-tall fin delivers 3.6× the width of its planar footprint, and three stacked 30 nm sheets give 210 nm of width — with the width chosen continuously instead of in whole fins.
Common mistakes
- Wrong: Assuming FinFET widths are continuous. — Right: Width comes in fin increments.
- Wrong: Ignoring self-heating in FinFET/GAA. — Right: Confined channels heat up — affects reliability.
- Wrong: Presenting CFET as production-ready. — Right: It is at research/early development stage.
Applications
- Leading-edge logic: FinFET (16–3 nm), GAA (2 nm-class).
- IoT & automotive: FD-SOI with body bias.
- RF front ends: RF-SOI switches and LNAs.
- Space: SOI for radiation tolerance.
Key takeaways
- Thin bodies + more gates → smaller λ_n → shorter gates.
- FD-SOI: thin film + back bias; FinFET: 3-sided; GAA: 4-sided.
- FinFET width quantised; GAA width tunable.
- Trade-offs: parasitics, self-heating, process complexity.
Going further
- Forksheet & CFET: Future stacked architectures.
- Backside power delivery: Power rails under the transistors.
- 2-D channel materials: MoS₂ for ultimate thinness (emerging devices).