The work explores the performance estimation of Inverted 'T' (IT) architecture with JL topology i.e (ITJL-FinFET, the device utilizes unwanted area among multi-fins with bulk conduction mechanism) on SOI platform. For the first time, the crucial performance metrics of ITJL FinFET are debated extensively by varying the geometry dimensions at 22-nm node. The gate length ( L G ), virtual underlap source ( L US ) and drain ( L UD ), and workfunction ( ϕ M ) are optimized at 20-nm, 4-nm, 4.6 eV respectively. The SS , DIBL and switching current ratio ( I ON / I OFF ) are achieved 69 mV/decade, 27 mV/V and 10 5 . The decrement in transconductance ( g m ) with increasing in length of L G , L US , L UD and simultaniously, transconductance generation factor ( TGF ) tends to improve. Moreover, we have been examine the grid sensitivity of the device and considered the grid points where the independency of I-V characteristics achieved during simulation. The result ensures a systematic prefabrication analysis of ITJL FinFET found to be appropriate, which will overcome the challenges at the nanoscale regime.
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Vandana et al. (2018) studied this question.
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