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14 nm lithography process
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The 14 nanometer (14 nm) lithography process is a semiconductor manufacturing process node serving as shrink from the 22 nm process. The term "14 nm" is simply a commercial name for a generation of a certain size and its technology, as opposed to gate length or half pitch. The 14 nm node was introduced in 2014/2015 and is currently getting replaced by the 10 nm process.

Industry

 
Process Name
1st Production
Lithography Lithography
Immersion
Exposure
Wafer Type
Size
Transistor Type
Voltage
 
Fin Pitch
Width
Height
Gate Length (Lg)
Contacted Gate Pitch (CPP)
Minimum Metal Pitch (MMP)
SRAM bitcell High-Perf (HP)
High-Density (HD)
Low-Voltage (LV)
DRAM bitcell eDRAM
Intel Samsung Alliance
Samsung Alliance consists of a process development collaboration between Samsung and GlobalFoundries. GlobalFoundries licenses Samsung's 14nm process at Fab8, New York.
IBM UMC Common Platform Alliance
The Common Platform Alliance is a joint collaboration between IBM, STMicroelectronics
P1272 (CPU) / P1273 (SoC) 14LPE
1st generation; 14 nm Low Power Early
, 14LPP
2nd generation; 14 nm Low Power Performance
, 14LPC
3rd generation; 14 nm Low Power Cost [reduced]
, 14LPU
4th generation; 14 nm Low Power Ultimate
    14FDSOI
2014 2015      
193 nm 193 nm 193 nm 193 nm 193 nm
Yes       Yes
        DP
Bulk Bulk SOI   SOI
300 mm 300 mm 300 mm 300 mm 300 mm
FinFET FinFET FinFET FinFET Planar
0.7 V 0.7 V     0.8 V
Value 22 nm Δ Value 20 nm Δ Value 22 nm Δ Value 28 nm Δ Value 28 nm Δ
42 nm 0.70x 48 nm N/A 42 nm N/A     N/A
8 nm 1.00x 8 nm 10 nm    
42 nm 1.24x ~38 nm 25 nm    
20 nm 0.77x 30 nm           20 nm 0.71x
70 nm 0.78x 78 nm 1.22x 80 nm 0.80x     90 nm 0.79x
52 nm 0.65x 64 nm 1.00x 64 nm 0.80x     64 nm 0.71x
0.0706 µm² 0.54x 0.080 µm² 0.78x 0.0900 µm² 0.63x     0.090 µm² 0.59x
0.0499 µm² 0.54x 0.064 µm² 0.79x 0.0810 µm² 0.81x     0.081 µm² 0.68x
0.0588 µm² 0.54x                
        0.0174 µm² 0.67x        

Intel

14 nm became Intel's 2nd generation FinFET transistors. Intel uses TiN pMOS / TiAlN nMOS as work function metals. Intel makes use of Self-Aligned Double Patterning (SADP) with 193 nm immersion lithography at critical patterning layers. Compared to all other "14 nm nodes", Intel's process is the densest and considerably so, with >1.5x raw logic density.

Intel improved on their original process with the "14nm+" offering 12% higher drive current. They later improved on that with the "14nm++" process which allows for +23-24% higher drive current for 52% less power. The 14nm++ process also appear to have slightly relaxed the CPP from 70 to 84 nm.

intel 14nm gate.png

Samsung

This process became Samsungs' and GlobalFoundries first generation of FinFET-based transistors. Samsung uses TiN pMOS / TiAIC nMOS as work function metals.

Find models

Click to browse all 14 nm MPU models

14 nm Microprocessors

  • Intel
  • AMD

This list is incomplete; you can help by expanding it.

14 nm Microarchitectures

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Documents

References

  • Natarajan, S., et al. "A 14nm logic technology featuring 2 nd-generation FinFET, air-gapped interconnects, self-aligned double patterning and a 0.0588 µm 2 SRAM cell size." Electron Devices Meeting (IEDM), 2014 IEEE International. IEEE, 2014.
  • Lin, C. H., et al. "High performance 14nm SOI FinFET CMOS technology with 0.0174 µm 2 embedded DRAM and 15 levels of Cu metallization." Electron Devices Meeting (IEDM), 2014 IEEE International. IEEE, 2014.
  • Jan, C-H., et al. "A 14 nm SoC platform technology featuring 2 nd generation Tri-Gate transistors, 70 nm gate pitch, 52 nm metal pitch, and 0.0499 um 2 SRAM cells, optimized for low power, high performance and high density SoC products." VLSI Technology (VLSI Technology), 2015 Symposium on. IEEE, 2015.
  • Song, Taejoong, et al. "A 14 nm FinFET 128 Mb SRAM With VMIN Enhancement Techniques for Low-Power Applications." IEEE Journal of Solid-State Circuits 50.1 (2015): 158-169.
  • Weber, Olivier, et al. "14nm FDSOI technology for high speed and energy efficient applications." VLSI Technology (VLSI-Technology): Digest of Technical Papers, 2014 Symposium on. IEEE, 2014.