A review of the top of the barrier nanotransistor models for semiconductor nanomaterials

The modelling and simulation of low-dimensional nanoelectronic devices is important, because the semiconductor industry has scaled transistors down to the sub-10nm regime. The top of the barrier (ToB) transistor model has been developed and used to model transistors that are composed of various semi...

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Veröffentlicht in:Superlattices and microstructures 2020-04, Vol.140, p.106429, Article 106429
Hauptverfasser: Chuan, Mu Wen, Wong, Kien Liong, Hamzah, Afiq, Rusli, Shahrizal, Alias, Nurul Ezaila, Lim, Cheng Siong, Tan, Michael Loong Peng
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Sprache:eng
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Zusammenfassung:The modelling and simulation of low-dimensional nanoelectronic devices is important, because the semiconductor industry has scaled transistors down to the sub-10nm regime. The top of the barrier (ToB) transistor model has been developed and used to model transistors that are composed of various semiconducting materials. In this paper, a brief overview of the ToB transistor model is presented. The main objective of this paper is to provide a focused review on the device modelling milestones that have been achieved using the ToB transistor model. The accuracy of a few of these models is assessed by computing the normalised root mean square deviation. The ToB transistor model is widely used for computational studies on low-dimensional field-effect transistors with various channel materials, such as ultra-thin-bodies, two-dimensional materials and one-dimensional materials. The ToB transistor model is also useful for extensive research in circuit-level simulations. In summary, this nanoscale model helps researchers to identify and evaluate the potential nanomaterials for future nanoelectronic applications. •A focused review of nanotransistor model for nanoelectronics.•Overview of the top of the barrier approach.•The milestones of the nanotransistor model for semiconductor nanomaterials.•Model comparison based on the benchmark and performance.
ISSN:0749-6036
1096-3677
DOI:10.1016/j.spmi.2020.106429