Process Optimization Of Perpendicular Magnetic Tunnel Junction Arrays For Last-Level Cache Beyond 7 Nm Node

Lin Xue, Chi Ching, Alex Kontos,Jaesoo Ahn, Xiaodong Wang, Renu Whig,Hsin-wei Tseng,James Howarth,Sajjad Hassan,Hao Chen,Mangesh Bangar, Shurong Liang,Rongjun Wang,Mahendra Pakala

2018 IEEE SYMPOSIUM ON VLSI TECHNOLOGY(2018)

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摘要
This paper demonstrates systematic process optimization of perpendicular magnetic tunnel junction (pMTJ) by hardware, unit-process, and material stack design. TMR of 200% at RA 5 Ohm.mu m(2), H-SAF similar to 8 kOe, and 10-time tunability of Hc were achieved at the film level. After patterning, 10(-6) write error rate was reached at 0.4 pJ, V-BD was as high as 1600 mV at 20 ns pulse width, and excellent device stability against 400 degrees C BEOL baking was demonstrated. The device performance along with the process capability to make MTJ array at 88 nm pitch provides opportunities for LLC applications.
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关键词
MTJ array,perpendicular magnetic tunnel junction arrays,last-level cache,systematic process optimization,unit-process,material stack design,film level,process capability,write error rate,device stability,TMR,pulse width,BEOL baking,temperature 400.0 degC,size 7.0 nm,energy 0.4 pJ,time 20.0 ns
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