Impact of Elastic and Inelastic Scrattering

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    3D simulation of Si nanowire FETs:

    impact of elastic and inelastic scattering

    Marco Pala

    IMEP-LAHC, Grenoble, France

    Main collaboration withS. Poli, ARCES Bologna

    C. Buran, IMEP-LAHCM. Mouis, IMEP-LAHC

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    Outline

    Introduction

    Models and methods

    Transport properties of Silicon nanowire FETs atroom temperature

    Surface roughness scattering

    Remote Coulomb scattering Electron-phonon scattering

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    Semiconductor nanowire FET

    Important for scaling of nanoelectronics

    Optimal electrostatic control

    Specific transport properties due to 1D geometry

    Accurate modeling requires:

    Quantum confinement

    Interference effects

    Spatial fluctuations

    3D description

    Inelastic scattering due to phonons or othermechanisms (e-e, )

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    3D NE Greens functions

    Goal: Schrdinger equation with open-boundaryconditions at the contacts (out-of equilibrium)

    Tight-binding Hamiltonian On-site Greens functions

    connected via the Dyson equation

    Recursive strategy to compute thetotal Greens function

    Meier-Wingreen formalism validalso for inelastic transport

    n n+1

    nL ,G 1,G +nR

    00 GGGG U+=

    ( )

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    Surface roughness in SiNWs

    Examples:

    We consider devices with 20nm gate length. Quasi-ballistic regime: a proper statistical treatment isadopted

    Potential profiles and electron densitiesfor two different slices

    mL

    r

    merC

    2

    2)(

    =

    S. Poli et al., IEEE-TED 55, 2968 (2008)

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    Size effect: effective mobility

    D

    eff

    qN

    GL

    1

    =

    Small wire section: 3x3 nm2

    Different behaviour depending on the SR realization

    Effective mobility can even increase with Vgs

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    Different overdrive regimes

    Possible localization phenomena at low Vgs-Vt

    LOW BIAS HIGH BIAS

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    Large section: more than 25 nm2

    We recover a standard picture: the effective mobilitydecreases with Vgs

    Predominance of the mode-mixing with respect to the

    potential-fluctuations mechanism

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    Lateral charge distribution

    Size effect: for nanowires with large section theelectron density distribute towards the surface at highbias

    Such effect is less efficient in narrow nanowires wherequantum confinement dominates with respect to theelectrostatic control of the gate

    HIGH BIAS

    3x3 nm2 7x7 nm25x5 nm2

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    Effect of SR on the current on SiNWs

    Varying RMS of roughness Unchanged sub-threshold voltage slope

    Threshold voltage shift

    C. Buran et al., IEEE-TED 57 (2009)

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    SR-limited mobility

    Extracted after subtraction of the ballisticcomponent from the effective mobility

    ( ) 1

    11 = baleffSR

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    Remote Coulomb scattering

    Charged defects at the interface of differentmaterials like in high-k gate stacks

    Random distribution of point-like defects at theinterfaces

    Main parameters are NFix and tIL

    S. Poli et al., IEEE-TED 56, 1191 (2009)

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    1D subband profiles

    Subband for different overdrive regimes

    Influence of screening effects

    Possibility of cluster formation

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    Effects on the current

    Current detrimental in the subthreshold regime

    Larger sub-threshold voltage slope

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    Increase of tunneling current

    Transmission probability for different densities offixed charges

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    Effective mobility

    Importance of screening effects

    Strong variation between different realizations

    due to the presence of clusters

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    RCS-limited mobility

    Extracted via the Mathiessen rule

    Almost linear dependence on the linear density

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    Parameters

    Influence of fixed-charge density

    Influence of interfacial layer thickness

    Inefficiency of screening at short distances

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    Electron-phonon scattering

    Elastic scattering: Acoustic phonons

    Inelastic scattering: Optical phonons

    Both g-type and f-type for Si are considered Self-energies within self-consistent Born approx

    >