2020
DOI: 10.1109/ted.2019.2961396
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Assessing the Performance of Novel Two-Dimensional Materials Transistors: First-Principles Based Approach

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Cited by 6 publications
(3 citation statements)
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“…Kim et al used a computational simulation workflow which also uses a DFT-NEGF approach to investigate the device performance of double-gated silicene/gallium phosphide heterobilayer FETs [333]. The authors could predict that these FETs have attractive characteristics, such as high ON-state current.…”
Section: D Fetsmentioning
confidence: 99%
“…Kim et al used a computational simulation workflow which also uses a DFT-NEGF approach to investigate the device performance of double-gated silicene/gallium phosphide heterobilayer FETs [333]. The authors could predict that these FETs have attractive characteristics, such as high ON-state current.…”
Section: D Fetsmentioning
confidence: 99%
“…Although the electrical metal contacts to the X-enes have been reported in the literature [10] [12], the Schottky barrier (SB)-FET based on the 2D mono-elemental X-enes nanoribbon (NR) such as graphene, germanene, phosphorene and the silicene has not been studied. Therefore, the versatile modeling approach along with the high-level description of the device operation is strongly needed to understand the complexity of the physics and the principles related to the X-ene based FETs [13][14] [15]. In most of the reported works the devices have been simulated for analyzing the performance by solving the non-equilibrium Green's function (NEGF) approach along with the tight binding methods.…”
Section: Introductionmentioning
confidence: 99%
“…DFT Hamiltonians have found increasing use in the nanoelectronics simulations recently. Si nanowire FETs 5,6 and ultra-thin-body FETs, 6 2D material FETs, [7][8][9][10] and resistive memory devices 11 were simulated by importing LCAO DFT Hamiltonians, where LCAO is an abbreviation for linear combinations of atomic orbitals. Si nanowire transistors were also simulated by using the Hamiltonian from the real-space DFT method.…”
Section: Introductionmentioning
confidence: 99%