Transport in nanowire MOSFETs: influence of the band-structure M. Bescond IMEP – CNRS – INPG (MINATEC), Grenoble, France Collaborations: N. Cavassilas,

Slides:



Advertisements
Similar presentations
Multisubband Monte Carlo simulations for p-MOSFETs David Esseni DIEGM, University of Udine (Italy) Many thanks to: M.De Michielis, P.Palestri, L.Lucci,
Advertisements

Simulations of sub-100nm strained Si MOSFETs with high- gate stacks
© 2013 Eric Pop, UIUCECE 340: Semiconductor Electronics ECE 340 Lecture 3 Crystals and Lattices Online reference:
Comparison of Non-Equilibrium Green’s Function and Quantum-Corrected Monte Carlo Approaches in Nano MOS Simulation H. Tsuchiya A. Svizhenko M. P. Anantram.
International Workshop of Computational Electronics Purdue University, 26 th of October 2004 Treatment of Point Defects in Nanowire MOSFETs Using the Nonequilibrium.
Computational Electronics Generalized Monte Carlo Tool for Investigating Low-Field and High Field Properties of Materials Using Non-parabolic Band Structure.
One-dimensional hole gas in germanium silicon nanowire hetero-structures Linyou Cao Department of Materials Science and Engineering Drexel University 12/09/2005.
Spin-orbit effects in semiconductor quantum dots Departament de Física, Universitat de les Illes Balears Institut Mediterrani d’Estudis Avançats IMEDEA.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP Quantum Transport in Ultra-scaled.
CHAPTER 3 Introduction to the Quantum Theory of Solids
Quantum Dots PA2003: Nanoscale Frontiers Artificial atoms Schr ö dinger equation Square well potential Harmonic oscillator 2D Harmonic oscillator Real.
Advanced Semiconductor Physics ~ Dr. Jena University of Notre Dame Department of Electrical Engineering SIZE DEPENDENT TRANSPORT IN DOPED NANOWIRES Qin.
The effective mass Conductivity effective mass – determines mobility.
Full-band Simulations of Band-to-Band Tunneling Diodes Woo-Suhl Cho, Mathieu Luisier and Gerhard Klimeck Purdue University Investigate the performance.
NCN 1 Neophytos Neophytou Advisory Committee Chairs: Mark Lundstrom, Gerhard Klimeck Members: Ashraful Alam, Ahmed Sameh Network for Computational.
Lecture Jan 31,2011 Winter 2011 ECE 162B Fundamentals of Solid State Physics Band Theory and Semiconductor Properties Prof. Steven DenBaars ECE and Materials.
© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Conductance Quantization One-dimensional ballistic/coherent transport Landauer theory The role of contacts Quantum.
Semiconductor Devices 22
IWCE, Purdue, Oct , 2004 Seungwon Lee Exchange Coupling in Si-Quantum-Dot-Based Quantum Computer Seungwon Lee 1, Paul von Allmen 1, Susan N. Coppersmith.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First Time User Guide to OMEN Nanowire**
Efficient solution algorithm of non-equilibrium Green’s functions in atomistic tight binding representation Yu He, Lang Zeng, Tillmann Kubis, Michael Povolotskyi,
Theory of Intersubband Antipolaritons Mauro F
Three-dimensional quantum transport simulation of ultra-small FinFETs H. Takeda and N. Mori Osaka University.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP NEMO5.
Figure 9.1. Use of silicon oxide as a masking layer during diffusion of dopants.
December 2, 2011Ph.D. Thesis Presentation First principles simulations of nanoelectronic devices Jesse Maassen (Supervisor : Prof. Hong Guo) Department.
Limitations of Digital Computation William Trapanese Richard Wong.
Laboratoire Matériaux et Microélectronique de Provence UMR CNRS Marseille/Toulon (France) - M. Bescond, J-L. Autran, M. Lannoo 4 th.
Investigation of Performance Limits of Germanium DG-MOSFET Tony Low 1, Y. T. Hou 1, M. F. Li 1,2, Chunxiang Zhu 1, Albert Chin 3, G. Samudra 1, L. Chan.
Strained Silicon MOSFET R Jie-Ying Wei Department of Electrical Engineering and Graduate Institute of Electronics Engineering National Taiwan University,
The crystal structure of the III-V semiconductors
Simulation of transport in silicon devices at atomistic level Introduction Properties of homogeneous silicon Properties of pn junction Properties of MOSFET.
Modeling thermoelectric properties of TI materials: a Landauer approach Jesse Maassen and Mark Lundstrom Network for Computational Nanotechnology, Electrical.
Dopant profiling and surface analysis of silicon nanowires using capacitance-voltage measurements Erik C. Garnett, Yu-Chih Tseng, Devesh R. Khanal, Junqiao.
1 BULK Si (100) VALENCE BAND STRUCTURE UNDER STRAIN Sagar Suthram Computational Nanoelectronics Class Project
Numericals on semiconductors
Carrier Concentration in Equilibrium.  Since current (electron and hole flow) is dependent on the concentration of electrons and holes in the material,
Special Issues on Nanodevices1 Special Topics in Nanodevices 3 rd Lecture: Nanowire MOSFETs Byung-Gook Park.
Electronic transport properties of nano-scale Si films: an ab initio study Jesse Maassen, Youqi Ke, Ferdows Zahid and Hong Guo Department of Physics, McGill.
Organization Introduction Simulation Approach Results and Discussion
F. Sacconi, M. Povolotskyi, A. Di Carlo, P. Lugli University of Rome “Tor Vergata”, Rome, Italy M. Städele Infineon Technologies AG, Munich, Germany Full-band.
ECE 875: Electronic Devices Prof. Virginia Ayres Electrical & Computer Engineering Michigan State University
EE105 - Spring 2007 Microelectronic Devices and Circuits
BASICS OF SEMICONDUCTOR
Suppression of Random Dopant-Induced Threshold Voltage Fluctuations in Sub-0.1μm MOSFET’s with Epitaxial and δ-Doped Channels A. Asenov and S. Saini, IEEE.
Network for Computational Nanotechnology (NCN) Gerhard Klimeck Berkeley, Univ. of Florida, Univ.of Illinois, Norfolk State, Northwestern, Purdue, Stanford,
Electronic Properties of Si Nanowires Yun Zheng, 1 Cristian Rivas, Roger Lake, Khairul Alam, 2 Timothy Boykin, and 3 Gerhard Klimeck Deptartment of Electrical.
1 Material Model 2 Single Electron Band Structure in Bulk Semiconductors.
CHAPTER 6: MOSFET & RELATED DEVICES CHAPTER 6: MOSFET & RELATED DEVICES Part 1.
EEE209/ECE230 Semiconductor Devices and Materials
Chapter Energy Bands and Charge Carriers in Semiconductors
Excitons in Excited States in a Quantum Well
Conductivity, Energy Bands and Charge Carriers in Semiconductors
Semiconductor Device Modeling
Contact Resistance Modeling and Analysis of HEMT Devices S. H. Park, H
Conductivity Charge carriers follow a random path unless an external field is applied. Then, they acquire a drift velocity that is dependent upon their.
Lower Limits To Specific Contact Resistivity
Chapter 3 Energy Band Theory.
Spin-orbit interaction in a dual gated InAs/GaSb quantum well
Contact Resistance Modeling in HEMT Devices
OMEN: a Quantum Transport Modeling Tool for Nanoelectronic Devices
Equilibrium Carrier Statistics
6.3.3 Short Channel Effects When the channel length is small (less than 1m), high field effect must be considered. For Si, a better approximation of field-dependent.
3.1.4 Direct and Indirect Semiconductors
Nanowire Gate-All-Around (GAA) FETs
Lecture 2:
Band-structure calculation
Strained Silicon MOSFET
Mechanical Stress Effect on Gate Tunneling Leakage of Ge MOS Capacitor
Semiconductor crystals
Presentation transcript:

Transport in nanowire MOSFETs: influence of the band-structure M. Bescond IMEP – CNRS – INPG (MINATEC), Grenoble, France Collaborations: N. Cavassilas, K. Nehari, M. Lannoo L2MP – CNRS, Marseille, France A. Martinez, A. Asenov University of Glasgow, United Kingdom SINANO Workshop, Montreux 22 nd of September

Motivation: improve the device performances Gate-all-around MOSFET: materials and orientations Ballistic transport within the Green’s functions Tight-binding description of nanowires Conclusion Outline 2

Towards the nanoscale MOSFET’s  Scaling of the transistors:  New device architectures  New materials and orientations  Improve carrier mobility  Gate-all-around MOSFET 1 : Increasing the number of gates offers a better control of the potential Ge, GaAs can have a higher mobility than silicon (depends on channel orientation). Effective masses in the confined directions determine the lowest band. Effective mass along the transport determines the tunnelling current.  Improve potential control 1 M. Bescond et al., IEDM Tech. Digest, p. 617 (2004). 3

3D Emerging architectures 3D Emerging architectures 3D simulations: The gate-all-around MOSFET

Gate-All-Around (GAA) MOSFETs T Si =W Si =4nm T OX =1nm Source and drain regions: N-doping of cm -3. Dimensions: L=9 nm, W Si =4 nm, and T Si =4 nm, T OX =1 nm. Intrinsic channel. 5

3D Mode-Space Approach*  3D Problem = N  1D Problems  Saving of the computational cost!!!!  Hypothesis:  n,i is constant along the transport axis. * J. Wang et al., J. Appl. Phys. 96, 2192 (2004).  The 3D Schr ö dinger = 2D (confinement) + 1D ( transport) 2D (confinement) 1D (transport) i th eigenstate of the n th atomic plan 6

Different Materials and Crystallographic Orientations

Different Materials and Orientations Ellipsoid coordinate system ( k L, k T1, k T2 ) + Device coordinate system (X, Y, Z) +    Rotation Matrices Effective Mass Tensor (EMT) 8

Theoretical Aspects* 3D Schrödinger equation: Potential energy H 3D : 3D device Hamiltonian Coupling * F. Stern et al., Phys. Rev. 163, 816 (1967). 9

Theoretical Aspects* The transport direction X is decoupled from the cross- section in the 3D Schrödinger equation: Where E’ is given by: m trans is the mass along the transport direction: Coupling M. Bescond et al., Proc. ULIS Workshop, Grenoble, p.73, April 20 th -21 st M. Bescond et al. JAP, submitted,

3D Mode-Space Approach  Resolution of the 2D Schrödinger equation in the cross-section: m YY, m ZZ, m YZ.  Resolution of the 1D Schr ö dinger equation along the transport axis: m trans.  The 3D Schrödinger = 2D (confinement) + 1D ( transport) 2D (confinement) 1D (transport) i th eigenstate of the n th atomic plane 11

Semiconductor conduction band  (spherical): m l =m t  diagonal EMT Three types of conduction band minima:  (ellipsoidal): m l  m t  non diagonal EMT  (ellipsoidal): m l  m t  non diagonal EMT E  E  E Δ    Electron Energy  -valleys  -valleys 12

Results: effective masses Wafer orientation: 13

Material: Ge m YY =0.2*m 0 m ZZ =0.95*m 0 m trans =0.2*m 0 m YY =0.117*m 0 m ZZ =0.117*m 0 m YZ -1 =±1/(0.25*m 0 ) m trans =0.6*m 0  4-valleys 1 st 2 nd  -valleys Z 6 nm  Non-diagonal terms in the effective mass tensor couple the transverse directions in the  -valleys Free electron mass Square cross-section: 4  4 nm, oriented wire 14

Material: Ge Square cross-section: T  T=5  5 nm, oriented wire  Total current is mainly defined by the electronic transport through the  -valleys (  bulk)  Tunneling component negligible due to the value of m trans in the  -valleys (0.6*m 0 ) 15

Square cross-section: 4  4 nm, oriented wire Material: Ge  The  4 become the energetically lowest valleys due to the transverse confinement  4-valleys: m YY =0.2*m 0, m ZZ =0.95*m 0  -valleys: m YY =0.117*m 0, m ZZ =0.117*m 0 16

Material: Ge*  4-valleys: m trans =0.2*m 0 versus  -valleys: m trans =0.6*m 0  The total current increases by decreasing the cross-section! * M. Bescond et al., IEDM Tech. Digest, p. 533 (2005). 17

3D Emerging architectures Influence of the Band structure: Silicon

Why? Scaling the transistor size  devices = nanostructures  Electrical properties depend on: Band-bap. Curvature of the bandstructure: effective masses.  Atomistic simulations are needed 1,2.  Aim of this work: describe the bandstructure properties of Si and Ge nanowires. 1 J. Wang et al. IEDM Tech. Dig., p. 537 (2005). 2 K. Nehari et al. Solid-State Electron. 50, 716 (2006). 19

Tight-Binding method Band structure calculation Concept: Develop the wave function of the system into a set of atomic orbitals. sp 3 tight-binding model: 4 orbitals/atom: 1 s + 3 p Interactions with the third neighbors. Three center integrals. Spin-orbit coupling. 1 st (4) 2 nd (12) 3 rd (12) Diamond structure: Reference 20

Tight-Binding method Band structure calculation E SS (000) eVE SS (111) eV E xx (000) eVE sx (111) eV E xx (111) eVE xy (111) eV E ss (220) eVE ss (311) eV E sx (220) eVE sx (311) eV E sx (022) eVE sx (113) eV E xx (220) eVE xx (311) eV E xx (022) eVE xx (113) eV E xy (220) eVE xy (311) eV E xy (022) eVE xy (113) eV  20 different coupling terms for Ge:* *Y.M. Niquet et al., Appl. Phys. Lett. 77, 1182 (2000).  Coupling terms between atomic orbitals are adjusted to give the correct band structure: semi-empirical method. * Y.M. Niquet et al. Phys. Rev. B, 62 (8): , (2000). 21

The dimensions of the Si atomic cluster under the gate electrode is [T Si x(W=T Si )xL G ]. Silicon Hydrogen Schematic view of a Si nanowire MOSFET with a surrounding gate electrode. Electron transport is assumed to be one-dimensional in the x-direction. Simulated device Si Nanowire Gate-All-Around transistor 22

Energy dispersion relations  In the bulk: The minimum of the conduction band is the DELTA valleys defined by six degenerated anisotropic bands.  -valleys  Constant energy surfaces are six ellipsoids 23

Energy dispersion relations Energy dispersion relations for the Silicon conduction band calculated with sp 3 tight-binding model. The wires are infinite in the [100] x-direction.  Direct bandgap semiconductor  The minimum of  2 valleys are zone folded, and their positions are in k 0 =+/  Splitting between  4 subbands T=1.36 nm T=2.72 nmT=5.15 nm 24

Conduction band edge and effective masses Bandgap increases when the dimensions of cross section decrease m* increases when the dimensions of cross section decrease : 25

Results Current-Voltage Caracteristics  No influence on I off, due to the reduction of cross section dimension which induces a better electrostatic control  Overestimation of Ion (detailled on next slide) I D (V G ) characteristics in linear/logarithmic scales for three nanowire MOSFET’s (L G =9nm, V D =0.7V) with different square sections nm 1.9 nm 2.98 nm 26

K. Nehari et al., Solid-State Electronics, 50, 716 (2006). K. Nehari et al., APL, submitted, Results Overestimation on ON-Current Overestimation of the I on current delivered by a L G =9nm nanowire MOSFET as a function of the wire width when using the bulk effective-masses instead of the TB E(k)-based values. When the transverse dimensions decrease, the effective masses increase and the carrier velocity decreases. 27

3D Emerging architectures Influence of the Band structure: Germanium

Three types of conduction band minima:  -valleys  -valleys Conduction band minima L point: four degenerated valleys (ellipsoidal).  point: single valley (spherical).  directions: six equivalent minima (ellipsoidal). 29

Indirect band-gap. The minimum of CB obtained in k X =  /a corresponding to the 4  bulk valleys. Second minimum of CB in k X =0, corresponding to the single  bulk valley (75% of s orbitals). T=5.65 nm Dispersion relations* 4  bulk valleys  2 bulk valleys Single  bulk valley  4 bulk valleys Ge * M. Bescond et al. J. Comp. Electron., accepted (2006). 30

The four bands at k X =  /a are strongly shifted. The minimum of the CB moves to k X =0. The associated state is 50% s (  character) and 50% p (  and  character)  Quantum confinement induces a mix between all the bulk valleys.  These effects can not be reproduced by the effective mass approximation (EMA). T=1.13 nm Dispersion relations Ge 31

Effective masses:  point Ge Significant increase compared to bulk value (0.04  m 0 ): From  m 0 at T=5.65nm to 0.29  m 0 at T=1.13nm  increase of 70% and 600% respectively.  Other illustration of the mixed valleys discussed earlier in very small nanowires. (1/m*)=(4  ²/h²)  (  ²E/  k²) 32

Effective masses: k X =  /a Small thickness: the four subbands are clearly separated and gives very different effective masses. Larger cross-sections (D>4nm): the effective masses of the four subbands are closer, and an unique effective mass can be calculated: around 0.7  m 0 (effective mass: m trans =0.6  m 0 for T=5nm) The minimum is not obtained exactly at k X =  /a: Ge 33

Band-gap: Ge vs Si For both materials: the band gap increases by decreasing the thickness T (EMA). E G of Ge increases more rapidly than the one of Si: Si and Ge nanowires have very close band gaps.  Beneficial impact for Ge nano-devices on the leakage current (reduction of band-to- band tunneling). Ge 34

Effective masses: Valence Band Strong variations with the cross-section: from  m 0 to  m 0 (  70% higher than the mass for the bulk heavy hole). 35

Conclusion Study of transport in MOSFET nanowire using the NEGF. Effective Mass Approximation: different materials and orientations (T>4-5nm). Thinner wire: bandstructure calculations using a sp 3 tight- binding model. Evolution of the band-gap and effective masses. Direct band-gap for Si and indirect for Ge except for very small thicknesses (« mixed » state appears at k X =0). Bang-gap of Ge nanowire very rapidly increases with the confinement: band-to-band tunneling should be attenuated. Ge is much more sensitive then Si to the quantum confinement  necessity to use an atomistic description + Full 3D* * A. Martinez, J.R. Barker, A. Asenov, A. Svizhenko, M.P. Anantram, M. Bescond, J. Comp. Electron., accepted (2006) * A. Martinez, J.R. Barker, A. Svizenkho, M.P. Anantram, M. Bescond, A. Asenov, SISPAD, to be published (2006) 36

 1D case: Concept of conduction channel and quantum of conductance Current density from Left to right: Total current density: Quantum of conductance: ++ Rq: If bosonic particles: Due to the Fermi-Dirac distribution (1 e - /state) which limits the electron injection in the active region  Resistance of the reservoirs  Description of ballisticity: the Landauer’s approach extra

Resistance of the reservoirs  Resistance of the reservoirs: the Fermi-Dirac distribution limit the electron quantity injected in a subband (D 0 =2e 2 /h). extra

Towards the nanoscale MOSFET’s M 42M M transistors /chip 10 µm 1 µm0.1 µm 10 nm Mean free path in perfect semiconductors  ballistic transport De Broglie length in semiconductors  quantum effects Channel length of ultimate R&D MOSFETs in 2006 extra

Semi-empirical methods  Effective Mass Approximation (EMA): E(k) k 0 Parabolic approximation of an homogeneous material Parabolic approximation of a finished system of atoms  (Infinite system at the equilibrium) Near a band extremum the band structure is approximated by an parabolic function: extra

New electrostatic potential New electron density 1D density (Green) Poisson Electrostatic potential Current  Simulation Code  Potential energy profile (valley (010)) Numerical Aspects 2D Schrödinger Resolution 3D density (Green) Self- consistent coupling  The transverse confinement involves a discretisation of the energies which are distributed in subbands (Neumann) Extra