computational solid state physics 計算物性学特論 akiko natori 名取 晃子 purpose to...
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Computational Solid State Physics計算物性学特論
Akiko Natori名取 晃子
Purpose
To understand fundamental solid state physics in nanostructures with computer simulation
計算機シミュレーションを用いて、ナノスケール原子構造の物性の基礎を理解する。
Nanotechnology for electronics
How to make nanometer-scale structure?
What features of electronic properties are expected in nanometer-scale structure?
How to use the electronic properties for creating novel devices?
Study
Atomic structure: Interaction between atoms Homogeneous structure: Gas, liquid and solid Solid: crystal, quasi-crystal and amorphous Heterogeneous structure: growth mode of thin films, quantum well, superlattice Electronic properties in nanometer-scale
structure: Electronic structure Transport properties
Recommended textbooks
The physics of low-dimensional semiconductors, J.H. Davies, Cambridge University press
Mesoscopic electronics in solid state nanostructures, T.Heinzel, WILEY-VCH
Physics and applications of semiconductor microstructures, M.Jaros, Oxford Science Publications
Simulation for solid state physics, R.H.Silsbee and J.Drager, Cambridge University press
Acknowledgements
My students, M. Hirayama, J. Ito, H. Masu and S. Wakui, helped to shape this e-Learning text. I am grateful for their help. I would also like to thank Prof. K. Natori in Tsukuba University for permitting me to use CASTEP. It is a pleasure to thank Prof. T. Okamoto and Prof. K. Nakayama in The University of Electro-Communications for giving me a chance and various convenience to make e-Learning text.
CONTENTS
1. Introduction: What is nanotechnology?
2. Interactions between atoms and the lattice properties of crystals
3. Covalent bond and morphology of crystals, surfaces and interfaces
4. Electronic structure of crystals
5. Band offsets at hetero-interfaces and effective mass approximation
6. Pseudopotential
7. Many-body effect I: Hartree approximation, Hartree-Fock approximation and density functional method
8. Many-body effect II: Quantum Monte Carlo method
9. Transport properties I: Diffusive transport
10.Transport properties II: Ballistic transport
A1. Solutions
A2. Electronic properties of crystals: Calculation results by CASTEP
A3.Simulation for solid state physics
Computational Solid State Physics
計算物性学特論 第1回
1. Introduction
What is nonotechnology?
What is nano?
10-3 : m (Milli) 10-6 : μ (Maicro) 微 (び) 10-9 : n (Nano) 塵 (じん) 10-12 : p (Pico) 漠 (ばく) 10-15 : f (Femto) 須臾 (しゅゆ) 10-18 : a (Atto) 刹那 (せつな) 10-21 : 清浄 (せいじょ
う)
What is nanotechnology?
Nanometer scale control of materials which
requires to manipulate atoms and molecules.
1nm=10-9m
Size of atoms : a spread of electron cloud 0.1nm
structure control in atomic scale :
Top-down method 、 bottom-up method
Expected effects for electrons in nanostructures
Quantum confinement effectCharge discreteness and strong
electron-electron Coulomb interaction effects
Tunneling effectsStrong electric field effectsBallistic transport effects
Application fields of nanotechnology
Miniaturization of electron devices
High integration High speed Low consumption electric power Low cost
Miniaturization by top-down method
Application to electronic devices
L.L.Sohn, Nature 394(1998)131
Ge transistor LSI
Quantum corral
Carbon nanotube
Point contact
1950 1970 1980 2000
M.Schulz, Nature 399(1999)729
Roadmap for Si MicroelectronicsMoor’s Low:
Moor’s law and number of electrons per device
Moor’s Law:
Device size 2/3,
Chip size 1.5,
Integration 4-times
/ new chip ( 3 years )
I-V Charactaristics of resonant-tunneling diodes
Resonant tunneling diode
Profile through a three-dimensional resonant-tunneling diode.
Fermi sea of electrons
resonant tunneling
quasi-bound state
GaAs/AlGaAs interface :
two-dimensional electron gasQuantum conductance
Quantum point contact
Conductance of a quantum point contact
STM images of electron flow close to a quantum point contact
Fk2
1
Fk・ Electrons are wave
with wave vector
・ Interference stripe
with
[110] gold contact
TEM image
Quantized conductance atomic switch (QCAS)
Nature, 433(’05)47
Switching results of the QCAS
Quantum conductance of QCAS
Electron device using Coulomb blockade caused by electron-electron Coulomb interaction
Si single-electron CCD
SEM image
Manipulation of elementary charge
Sensing of a single hole
Kondo corral
D.M.Eigler et al.PRL 86(2001)2392
Interference pattern of two-dimensional electron gas on Co/Cu(111)
Bottom-up method
STM image
Molecualr abacus
STM image of molecules
Quantum computer
Classical bit : 1 or 0
Quantum bit : superposition of 0 and 1
N qubit : express 2n states simultaneously
Examples of qubit : electron spin, nuclear spin
Computer which uses principles of “superposition” in quantum
mechanics
Quantum computer by Kane’s model
Qubit: Nuclear spin of 31P in Si
STM image
Controlled not gate qubit:superconducting Cooper pairs
T.Yamamoto et al. Nature 425 (2003)
SEM image
Spin coupling in a double-dots
TEM image
Qubit: electron spin in a dot