SlideShare ist ein Scribd-Unternehmen logo
1 von 25
Nanotechnology and the
Development of Computer
Circuits
In this presentation……
   Concept and History of Nanotechnology
   Why Nanotechnology?
   Applications of Nanotechnology
       Applications to Computer Circuits
   Benefits and Disadvantages of
    Nanotechnology
   Connections with Computer
    Programming
What is Nanotechnology?

   Nanotechnology is the creation and use
    of materials or devices at extremely
    small scales.

           1 nm = 0.000000001 m
Nanotechnology Foretold
   Concept first introduced by American
    physicist Richard P. Feynman (1918-
    1988)
   Calculated that an encyclopedia set
    could be compressed to fit the head
    of a pin.
   Predicted several aspects in today’s
    nanotechnology
       Advanced microscopes
       Developments in fabrication methods
       Possibilities of atom-to-atom
        assembly
Tools In Nanotechnology
   The main tools used in nanotechnology
    are three main microscopes
       Transmission Electron Microscope (TEM)
       Atomic Force Microscope (AFM)
       Scanning Tunneling Microscope (STM)
Transmission Electron
Microscope (TEM)
   Uses high-energy electron
    beam to probe material
    with thickness < 100 nm.
   Some electrons are
    absorbed or bounced off
    object; some pass through
    the object and make
    magnified images
   Digital camera records
    images.
Atomic Force Microscope
(AFM)
                 Use small silicon tip as
                  probe to make images of
                  sample material
                 Probe moves along
                  surface
                 Electrons of atoms in
                  sample repel those in
                  probe
                 Creates 3-D images
Scanning Tunneling
Microscope (STM)
   Uses nanosized probe to
    scan objects and
    materials
   Uses tunneling to detect
    surface and creates a
    map of surface
   Rate of electrons that
    tunnel from probe to
    surface related to distance
    between probe and
    surface
Other Uses for Tools
   Microscopes used for
    imaging and manipulating
    nanostructures
   “Arms” in AFMs and
    STMs used to move
    around individual atoms
   Scientists at IBM made
    this image using an STM
    to with iron atoms into a
    circular structure
A Study and Analysis of
Blue Morpho Butterfly Wing
Nanostructures for
Commercial Fabrication
Abstract

This study focuses on the photonic crystals found in the scales
of a butterfly wing, particularly those of the species known as
the blue Morpho Rhetenor butterfly. To study these
nanostructures, scanning electron microscope (SEM) imaging
and the development of a finite-difference time-domain (FDTD)
program were necessary. The FDTD program produced a
graphical display of what colors are reflected as a result of light
propagation. The purpose of this study was to find what method
of fabrication is necessary to possibly reproducing these
photonic crystals. Such fabrication methods would eventually
be applied for commercial uses.
What Are Photonic Crystals?
• Periodic dielectric nanostructures affecting propagation of EM waves; allows and
forbids certain electron energy bands.
• Give rise to such optical events as the inhibition of spontaneous emission and
low-loss waveguiding when allowed propagating electromagnetic waves are not
present.
• The basic phenomenon behind photonic crystals is based on diffraction, or the
bending and spreading of waves.
• Periodicity of photonic crystal structures must be at the same length scale of the
wavelength of the EM waves; allows them to operate in the visible portion of the
spectrum.
• Bragg’s Law: λB = 2neffΛ

Photonic Crystals Found In Nature
 • Opal
 • Sea Mouse
 • Butterfly
 • Peacock
Applications
Researchers intend to developed adequate fabrication methods for
commercial uses:

• Cosmetics                            • Paints
• Clothing                             • Fabrics
• Encoding in Fiber Optics             • Integrated Optics Components
• Inhibition of Spontaneous Emission   • Computer Circuits*


The Blue Morpho Rhenetor Butterfly

The Blue Morpho Rhenetor Butterfly is the
   focus of our project as we study the
 photonic crystals found on the scales of
               the wings.
Finite-Difference Time-Domain (FDTD) Program
         A finite-difference time-domain (FDTD) program was developed in
         MATLAB to simulate the photonic behavior of the nanostructures directly
         from the captured SEM images. This program simulates the natural
         phenomenon that takes place when visible light is incident on the
         nanostructures within the scales of the wings.      FLOWCHART

               FDTD Model       Recorder Layer
  Top                                              The white light enters the     Data is displayed in a
  PML                                                   source layer.                  curve plot.



                                                    The white light scatters    The recorder layer detects
                                                     randomly across the        which colors are reflected.
                                                        nanostructure.
                                    Source Field

                                                                                   The nanostructure
                                                      PML absorbs light.             behaves as a
Bottom
 PML                                                                             wavelength-dependent
                                   Nanostructure                                        mirror.
The FDTD modeling program uses Maxwell’s curl equations
      for source-free materials:
                         r                  r
                 r     ∂H            r     ∂E
              ∇× E = −µ (1) and   ∇× H = ε                         (2).
                        ∂t                 ∂t
             r                  r
             E               1 ∂H           r      n 2 ∂E
  If E =       , then × E = −
                    ∇                   (3) and =
                                          ∇× H
      (4). η0                 c0 ∂t                c0 ∂t
    Vectors E and H are then, written in their vector
    components.

∂ Ez ∂ E y    1 ∂H x       ∂Ex ∂Ez     1 ∂H y (6)      ∂E y       ∂Ex    1 ∂H z (7)
    −      =−        (5)       −    =−                        −       =−
 ∂y ∂z        c0 ∂ t        ∂z   ∂x    c0 ∂t           ∂x          ∂y    c0 ∂t


∂ H z ∂ H y n 2 ∂ Ex       ∂ H x ∂ H z n2 ∂ Ey         ∂H y  ∂ H x n 2 ∂ Ez
     −     =         (8)        −     =          (9)       −      =            (10)
 ∂ y ∂ z c0 ∂ t             ∂ z ∂ x c0 ∂ t              ∂x    ∂ y c0 ∂t
The derivatives in can be approximated as:


∂ Ex Ex ( t + ∆ t ) − Ex ( t )                                    ∂ Hand z ( y +                ) − H ( y− )
                                                                                           ∆y                 ∆y
                                                                          H                                                 .
    ≅                              ( RHD )                            z
                                                                        ≅
                                                                                           2          z       2
                                                                                                                   ( CD )
 ∂t            ∆t                                                  ∂y                            ∆y
 These derivatives are plugged into each of the E and H vectors
        components to create update equations. For (8),


                                 Ex ( t + ∆ t ) − Ex ( t ) c0  H z ( y +        ) − H ( y − ) 
                                                                            ∆y              ∆y
                                                                             2        z      2
                                                          = 2
                                           ∆t              n                    ∆y              
                                                                                                


                                                       c0 ∆ t  H z ( y + 2 ) − H z ( y − 2 ) 
                                                                          ∆y              ∆y

                                 Ex ( t + ∆ t ) = E x + 2                                               (11).
                                                        n                   ∆y               
                                                                                             


     The FDTD algorithm works by continuously forcing Maxwell’s
           curl equations over the duration of the model.
Numerical Results
Computer Circuits
   Computer circuits are
    small pieces of
    semiconducting material
    containing an electronic
    circuit.
   Most commonly used in
    computers
   Consists of as many as
    millions of transistors.
                                  Nanotechnology is
                               applied to the reduction
                                 in the size of these
                                 computer circuits!!!
Methods of Developing
Computer Circuits
   The most common method of
    fabricating computer circuits is the top-
    down method
       Thin films of materials, which make up a
        mask, are deposited on a silicon wafer
       Unnecessary portions are etched off
Benefits of Nanotechnology
   In the computer world,
    nanotechnology is important
    to the development of small
    computer circuits that can
    reduced the size of
    computers.
Disadvantages of
    Nanotechnology

   Safety hazards with nanomaterials
   Some studies detected possible cancer-
    causing properties of carbon nanotubes
   Some nanomaterials bounded with
    other materials or components
Effects on Society
Connections with Computer
     Science
   With the continual advancements and applications of
    nanotechnology to computer science, computers will
    surely improve drastically in the functionality, speed, and
    overall performance, as well as decrease in size providing
    more breathing room at home, at the office, or at school.
    These advancements have also begun to pave the way for
    portable devices such as MP3 players and PDAs. The
    world of computer science can only grow exponentially
    through the assistance of nanotechnologists. This topic
    interest me because I intend to focus my career in the
    research and development of nanodevices that affect the
    medical and computer science fields, as well as the
    everyday world in which we live.
Where Can We Learn
    More???
   Most lower-level computer science
    courses at Spelman (and Morehouse)
    may touch up on nanotechnology, or at
    least speak of their overall contributions
    without actually using the term itself.
Bibliography

Weitere ähnliche Inhalte

Was ist angesagt?

Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)
Jia-Bin Huang
 
Upm scube-dynsys-presentation
Upm scube-dynsys-presentationUpm scube-dynsys-presentation
Upm scube-dynsys-presentation
idragan
 
Ch 04 Arithmetic Coding (Ppt)
Ch 04 Arithmetic Coding (Ppt)Ch 04 Arithmetic Coding (Ppt)
Ch 04 Arithmetic Coding (Ppt)
anithabalaprabhu
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
Matthew Leingang
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
Matthew Leingang
 

Was ist angesagt? (19)

Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)
 
CS 354 Global Illumination
CS 354 Global IlluminationCS 354 Global Illumination
CS 354 Global Illumination
 
A Novel Methodology for Designing Linear Phase IIR Filters
A Novel Methodology for Designing Linear Phase IIR FiltersA Novel Methodology for Designing Linear Phase IIR Filters
A Novel Methodology for Designing Linear Phase IIR Filters
 
Upm scube-dynsys-presentation
Upm scube-dynsys-presentationUpm scube-dynsys-presentation
Upm scube-dynsys-presentation
 
Influence of Signal-to-Noise Ratio and Point Spread Function on Limits of Sup...
Influence of Signal-to-Noise Ratio and Point Spread Function on Limits of Sup...Influence of Signal-to-Noise Ratio and Point Spread Function on Limits of Sup...
Influence of Signal-to-Noise Ratio and Point Spread Function on Limits of Sup...
 
CS 354 Lighting
CS 354 LightingCS 354 Lighting
CS 354 Lighting
 
Image formation
Image formationImage formation
Image formation
 
Kccsi 2012 a real-time robust object tracking-v2
Kccsi 2012   a real-time robust object tracking-v2Kccsi 2012   a real-time robust object tracking-v2
Kccsi 2012 a real-time robust object tracking-v2
 
Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...
 
Cd Simon
Cd SimonCd Simon
Cd Simon
 
06 Arithmetic 1
06 Arithmetic 106 Arithmetic 1
06 Arithmetic 1
 
Face Recognition Using Sign Only Correlation
Face Recognition Using Sign Only CorrelationFace Recognition Using Sign Only Correlation
Face Recognition Using Sign Only Correlation
 
Ch 04 Arithmetic Coding (Ppt)
Ch 04 Arithmetic Coding (Ppt)Ch 04 Arithmetic Coding (Ppt)
Ch 04 Arithmetic Coding (Ppt)
 
4th Semester Mechanincal Engineering (2012-December) Question Papers
4th Semester Mechanincal Engineering (2012-December) Question Papers4th Semester Mechanincal Engineering (2012-December) Question Papers
4th Semester Mechanincal Engineering (2012-December) Question Papers
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
 
Future CMB Experiments
Future CMB ExperimentsFuture CMB Experiments
Future CMB Experiments
 
D. Ishii, K. Ueda, H. Hosobe, A. Goldsztejn: Interval-based Solving of Hybrid...
D. Ishii, K. Ueda, H. Hosobe, A. Goldsztejn: Interval-based Solving of Hybrid...D. Ishii, K. Ueda, H. Hosobe, A. Goldsztejn: Interval-based Solving of Hybrid...
D. Ishii, K. Ueda, H. Hosobe, A. Goldsztejn: Interval-based Solving of Hybrid...
 
Beginning direct3d gameprogramming07_lightsandmaterials_20161117_jintaeks
Beginning direct3d gameprogramming07_lightsandmaterials_20161117_jintaeksBeginning direct3d gameprogramming07_lightsandmaterials_20161117_jintaeks
Beginning direct3d gameprogramming07_lightsandmaterials_20161117_jintaeks
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
 

Andere mochten auch

Microformats: The Nanotechnology of the Semantic Web
Microformats: The Nanotechnology of the Semantic WebMicroformats: The Nanotechnology of the Semantic Web
Microformats: The Nanotechnology of the Semantic Web
adunne
 
Nanotechnology and the environment: A mismatch between claims and reality
Nanotechnology and the environment: A mismatch between claims and realityNanotechnology and the environment: A mismatch between claims and reality
Nanotechnology and the environment: A mismatch between claims and reality
Yuyun Ismawati Drwiega
 
Nanocomputers or Future computer Nanotechnology
Nanocomputers or Future computer NanotechnologyNanocomputers or Future computer Nanotechnology
Nanocomputers or Future computer Nanotechnology
MAGNIFIER
 
Nanotechnology And Its Applications
Nanotechnology And Its ApplicationsNanotechnology And Its Applications
Nanotechnology And Its Applications
mandykhera
 

Andere mochten auch (20)

Nanotechnology
NanotechnologyNanotechnology
Nanotechnology
 
Nanotechnology ppt
Nanotechnology pptNanotechnology ppt
Nanotechnology ppt
 
NANOTECHNOLOGY AND IT'S APPLICATIONS
NANOTECHNOLOGY AND IT'S APPLICATIONSNANOTECHNOLOGY AND IT'S APPLICATIONS
NANOTECHNOLOGY AND IT'S APPLICATIONS
 
Microformats: The Nanotechnology of the Semantic Web
Microformats: The Nanotechnology of the Semantic WebMicroformats: The Nanotechnology of the Semantic Web
Microformats: The Nanotechnology of the Semantic Web
 
Nanotech
NanotechNanotech
Nanotech
 
NANO TECHNOLOGY By Ashish, For Class 10th
NANO TECHNOLOGY By Ashish, For Class 10thNANO TECHNOLOGY By Ashish, For Class 10th
NANO TECHNOLOGY By Ashish, For Class 10th
 
Nanotechnology and the environment: A mismatch between claims and reality
Nanotechnology and the environment: A mismatch between claims and realityNanotechnology and the environment: A mismatch between claims and reality
Nanotechnology and the environment: A mismatch between claims and reality
 
Nanocomputers or Future computer Nanotechnology
Nanocomputers or Future computer NanotechnologyNanocomputers or Future computer Nanotechnology
Nanocomputers or Future computer Nanotechnology
 
Nanotechnology
NanotechnologyNanotechnology
Nanotechnology
 
Nano technology
Nano technologyNano technology
Nano technology
 
Nanotechnology in Industries
Nanotechnology in IndustriesNanotechnology in Industries
Nanotechnology in Industries
 
Nano Technology in Electronics
Nano Technology in ElectronicsNano Technology in Electronics
Nano Technology in Electronics
 
Nano-technology (Biology, Chemistry, and Physics applied)
Nano-technology (Biology, Chemistry, and Physics applied)Nano-technology (Biology, Chemistry, and Physics applied)
Nano-technology (Biology, Chemistry, and Physics applied)
 
Nanotechnology and its impact on modern computer
Nanotechnology and its impact on modern computerNanotechnology and its impact on modern computer
Nanotechnology and its impact on modern computer
 
Nano Technology & Nano Materials
Nano Technology & Nano MaterialsNano Technology & Nano Materials
Nano Technology & Nano Materials
 
INPUT and OUTPUT facts
INPUT and OUTPUT factsINPUT and OUTPUT facts
INPUT and OUTPUT facts
 
Input and Output Devices.
Input and Output Devices.Input and Output Devices.
Input and Output Devices.
 
Nano Technology
Nano TechnologyNano Technology
Nano Technology
 
Nanotechnology And Its Applications
Nanotechnology And Its ApplicationsNanotechnology And Its Applications
Nanotechnology And Its Applications
 
Nanotechnology: Basic introduction to the nanotechnology.
Nanotechnology: Basic introduction to the nanotechnology.Nanotechnology: Basic introduction to the nanotechnology.
Nanotechnology: Basic introduction to the nanotechnology.
 

Ähnlich wie Nanotechnology

Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
Tatsuya Yokota
 
Performance evaluation of circular microstrip
Performance evaluation of circular microstripPerformance evaluation of circular microstrip
Performance evaluation of circular microstrip
IAEME Publication
 
Performance evaluation of circular microstrip
Performance evaluation of circular microstripPerformance evaluation of circular microstrip
Performance evaluation of circular microstrip
IAEME Publication
 
Pres110811
Pres110811Pres110811
Pres110811
shotlub
 
NIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learningNIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learning
zukun
 
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
Luke Underwood
 

Ähnlich wie Nanotechnology (20)

FDTD Presentation
FDTD PresentationFDTD Presentation
FDTD Presentation
 
Introduction to nanophotonics
Introduction to nanophotonicsIntroduction to nanophotonics
Introduction to nanophotonics
 
Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregation
 
NMR Spectroscopy
NMR SpectroscopyNMR Spectroscopy
NMR Spectroscopy
 
Meteocast: a real time nowcasting system
Meteocast: a real time nowcasting systemMeteocast: a real time nowcasting system
Meteocast: a real time nowcasting system
 
Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classifi...
 
Performance evaluation of circular microstrip
Performance evaluation of circular microstripPerformance evaluation of circular microstrip
Performance evaluation of circular microstrip
 
Performance evaluation of circular microstrip
Performance evaluation of circular microstripPerformance evaluation of circular microstrip
Performance evaluation of circular microstrip
 
Pres110811
Pres110811Pres110811
Pres110811
 
Multi-Objective Optimization Algorithms for Finite Element Model Updating. Nt...
Multi-Objective Optimization Algorithms for Finite Element Model Updating. Nt...Multi-Objective Optimization Algorithms for Finite Element Model Updating. Nt...
Multi-Objective Optimization Algorithms for Finite Element Model Updating. Nt...
 
NIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learningNIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learning
 
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
Electromagnetic Scattering from Objects with Thin Coatings.2016.05.04.02
 
Cdc18 dg lee
Cdc18 dg leeCdc18 dg lee
Cdc18 dg lee
 
Journey to structure from motion
Journey to structure from motionJourney to structure from motion
Journey to structure from motion
 
On the Ellipsoidal Core for Cooperative Games under Ellipsoidal Uncertainty
On the Ellipsoidal Core for Cooperative Games under Ellipsoidal UncertaintyOn the Ellipsoidal Core for Cooperative Games under Ellipsoidal Uncertainty
On the Ellipsoidal Core for Cooperative Games under Ellipsoidal Uncertainty
 
Software tools for data-driven research and their application to thermoelectr...
Software tools for data-driven research and their application to thermoelectr...Software tools for data-driven research and their application to thermoelectr...
Software tools for data-driven research and their application to thermoelectr...
 
Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009Color Img at Prisma Network meeting 2009
Color Img at Prisma Network meeting 2009
 
Pycon openlcdfdm
Pycon openlcdfdmPycon openlcdfdm
Pycon openlcdfdm
 
non linear optics
non linear opticsnon linear optics
non linear optics
 
E0522327
E0522327E0522327
E0522327
 

Nanotechnology

  • 1. Nanotechnology and the Development of Computer Circuits
  • 2. In this presentation……  Concept and History of Nanotechnology  Why Nanotechnology?  Applications of Nanotechnology  Applications to Computer Circuits  Benefits and Disadvantages of Nanotechnology  Connections with Computer Programming
  • 3. What is Nanotechnology?  Nanotechnology is the creation and use of materials or devices at extremely small scales. 1 nm = 0.000000001 m
  • 4. Nanotechnology Foretold  Concept first introduced by American physicist Richard P. Feynman (1918- 1988)  Calculated that an encyclopedia set could be compressed to fit the head of a pin.  Predicted several aspects in today’s nanotechnology  Advanced microscopes  Developments in fabrication methods  Possibilities of atom-to-atom assembly
  • 5. Tools In Nanotechnology  The main tools used in nanotechnology are three main microscopes  Transmission Electron Microscope (TEM)  Atomic Force Microscope (AFM)  Scanning Tunneling Microscope (STM)
  • 6. Transmission Electron Microscope (TEM)  Uses high-energy electron beam to probe material with thickness < 100 nm.  Some electrons are absorbed or bounced off object; some pass through the object and make magnified images  Digital camera records images.
  • 7. Atomic Force Microscope (AFM)  Use small silicon tip as probe to make images of sample material  Probe moves along surface  Electrons of atoms in sample repel those in probe  Creates 3-D images
  • 8. Scanning Tunneling Microscope (STM)  Uses nanosized probe to scan objects and materials  Uses tunneling to detect surface and creates a map of surface  Rate of electrons that tunnel from probe to surface related to distance between probe and surface
  • 9. Other Uses for Tools  Microscopes used for imaging and manipulating nanostructures  “Arms” in AFMs and STMs used to move around individual atoms  Scientists at IBM made this image using an STM to with iron atoms into a circular structure
  • 10. A Study and Analysis of Blue Morpho Butterfly Wing Nanostructures for Commercial Fabrication
  • 11. Abstract This study focuses on the photonic crystals found in the scales of a butterfly wing, particularly those of the species known as the blue Morpho Rhetenor butterfly. To study these nanostructures, scanning electron microscope (SEM) imaging and the development of a finite-difference time-domain (FDTD) program were necessary. The FDTD program produced a graphical display of what colors are reflected as a result of light propagation. The purpose of this study was to find what method of fabrication is necessary to possibly reproducing these photonic crystals. Such fabrication methods would eventually be applied for commercial uses.
  • 12. What Are Photonic Crystals? • Periodic dielectric nanostructures affecting propagation of EM waves; allows and forbids certain electron energy bands. • Give rise to such optical events as the inhibition of spontaneous emission and low-loss waveguiding when allowed propagating electromagnetic waves are not present. • The basic phenomenon behind photonic crystals is based on diffraction, or the bending and spreading of waves. • Periodicity of photonic crystal structures must be at the same length scale of the wavelength of the EM waves; allows them to operate in the visible portion of the spectrum. • Bragg’s Law: λB = 2neffΛ Photonic Crystals Found In Nature • Opal • Sea Mouse • Butterfly • Peacock
  • 13. Applications Researchers intend to developed adequate fabrication methods for commercial uses: • Cosmetics • Paints • Clothing • Fabrics • Encoding in Fiber Optics • Integrated Optics Components • Inhibition of Spontaneous Emission • Computer Circuits* The Blue Morpho Rhenetor Butterfly The Blue Morpho Rhenetor Butterfly is the focus of our project as we study the photonic crystals found on the scales of the wings.
  • 14. Finite-Difference Time-Domain (FDTD) Program A finite-difference time-domain (FDTD) program was developed in MATLAB to simulate the photonic behavior of the nanostructures directly from the captured SEM images. This program simulates the natural phenomenon that takes place when visible light is incident on the nanostructures within the scales of the wings. FLOWCHART FDTD Model Recorder Layer Top The white light enters the Data is displayed in a PML source layer. curve plot. The white light scatters The recorder layer detects randomly across the which colors are reflected. nanostructure. Source Field The nanostructure PML absorbs light. behaves as a Bottom PML wavelength-dependent Nanostructure mirror.
  • 15. The FDTD modeling program uses Maxwell’s curl equations for source-free materials: r r r ∂H r ∂E ∇× E = −µ (1) and ∇× H = ε (2). ∂t ∂t r r E 1 ∂H r n 2 ∂E If E = , then × E = − ∇ (3) and = ∇× H (4). η0 c0 ∂t c0 ∂t Vectors E and H are then, written in their vector components. ∂ Ez ∂ E y 1 ∂H x ∂Ex ∂Ez 1 ∂H y (6) ∂E y ∂Ex 1 ∂H z (7) − =− (5) − =− − =− ∂y ∂z c0 ∂ t ∂z ∂x c0 ∂t ∂x ∂y c0 ∂t ∂ H z ∂ H y n 2 ∂ Ex ∂ H x ∂ H z n2 ∂ Ey ∂H y ∂ H x n 2 ∂ Ez − = (8) − = (9) − = (10) ∂ y ∂ z c0 ∂ t ∂ z ∂ x c0 ∂ t ∂x ∂ y c0 ∂t
  • 16. The derivatives in can be approximated as: ∂ Ex Ex ( t + ∆ t ) − Ex ( t ) ∂ Hand z ( y + ) − H ( y− ) ∆y ∆y H . ≅ ( RHD ) z ≅ 2 z 2 ( CD ) ∂t ∆t ∂y ∆y These derivatives are plugged into each of the E and H vectors components to create update equations. For (8), Ex ( t + ∆ t ) − Ex ( t ) c0  H z ( y + ) − H ( y − )  ∆y ∆y 2 z 2 = 2 ∆t n  ∆y    c0 ∆ t  H z ( y + 2 ) − H z ( y − 2 )  ∆y ∆y Ex ( t + ∆ t ) = E x + 2   (11). n  ∆y    The FDTD algorithm works by continuously forcing Maxwell’s curl equations over the duration of the model.
  • 18. Computer Circuits  Computer circuits are small pieces of semiconducting material containing an electronic circuit.  Most commonly used in computers  Consists of as many as millions of transistors. Nanotechnology is applied to the reduction in the size of these computer circuits!!!
  • 19. Methods of Developing Computer Circuits  The most common method of fabricating computer circuits is the top- down method  Thin films of materials, which make up a mask, are deposited on a silicon wafer  Unnecessary portions are etched off
  • 20. Benefits of Nanotechnology  In the computer world, nanotechnology is important to the development of small computer circuits that can reduced the size of computers.
  • 21. Disadvantages of Nanotechnology  Safety hazards with nanomaterials  Some studies detected possible cancer- causing properties of carbon nanotubes  Some nanomaterials bounded with other materials or components
  • 23. Connections with Computer Science  With the continual advancements and applications of nanotechnology to computer science, computers will surely improve drastically in the functionality, speed, and overall performance, as well as decrease in size providing more breathing room at home, at the office, or at school. These advancements have also begun to pave the way for portable devices such as MP3 players and PDAs. The world of computer science can only grow exponentially through the assistance of nanotechnologists. This topic interest me because I intend to focus my career in the research and development of nanodevices that affect the medical and computer science fields, as well as the everyday world in which we live.
  • 24. Where Can We Learn More???  Most lower-level computer science courses at Spelman (and Morehouse) may touch up on nanotechnology, or at least speak of their overall contributions without actually using the term itself.

Hinweis der Redaktion

  1. Nanotechnology deals with the development and use of materials or devices in sizes ranging between 1 to 100 nanometers (nm). This range is known as the nanoscale . All materials that fall along this scale are known as either nanocrystals and nanomaterials .
  2. The concept of nanotechnology was first introduced by American physicist Richard P. Feynman ( 1918-1988). Known for his contributions in quantum electrodynamics, he did this. Although never coining the term “nanotechnology”, Dr. Feynman successfully predicted several aspects and advancements in the field, including the use of advanced microscopes used to view materials at extremely small sizes, as well as the development of new fabrication methods. Feynman also discussed the possibility of atom-by-atom assembly , or the building of structures from individual atoms precisely joined by chemical forces. The concept of a “universal assembler” was derived from such a possibility in which a robotic device at nanoscale dimensions that could assemble atoms to create molecules of a desired chemical compound. Carbon atoms, for example, could may in the future be manipulated to fabricate low-cost diamonds.
  3. There are three main tools used in the field of nanotechnology: transmission electron microscopes, atomic force microscopes, and scanning electron microscopes.
  4. The transmission electron microscope is one that utilizes a high-energy electron beam that probes sample materials with a thickness less than 100 nanometers (nm). While some electrons are either absorbed or bounced of the material, others pass through it creating a magnified image as the one shown in the example. Current TEMs use digital cameras placed behind the material to capture and record images, magnifying images up to 30 million times. The TEM is the most popular microscope used the make images published in scientific journals on nanocrystals found in semiconductors.
  5. The atomic force microscope (AFM) uses a small silicon tip as a probe to make images of sample material. While the probe move along the surface of the sample, the electrons of the atoms in the material begin to repel the electrons of the probe. The AFM then adjusts the height of the probe to keep the force of the sample constant. A mechanism records the movement of the probe and sends this information to a computer that will generate a three-dimensional image as shown in the slide. The image will show the exact topography of the surface.
  6. A scanning tunneling microscope (STM) uses a wavelike property of electrons known as tunneling , which allows electrons emitted from a probe to penetrate, or tunnel into, the surface of the examined object. The electrons generate a tiny electric current that the STM measures. Similar to the atomic force microscope, the height of the probe in the STM is adjusted constantly to keep the current constant. In doing, so a detailed map of the material’ surface is produced as the example in this slide shows.
  7. These microscopes can not only be used for imaging, but they also could be used in the manipulating of nanomaterials. In AFMs and STMs, the probes in these machines are used as “arms” of some sort to move around atoms of a particular structure. The image in this slide was produce by scientists at IBM, as they positioned 48 iron atoms into a circular structure using an STM. To keep these atoms at their respective positions, the conditions of the atoms’ environment were set at temperatures set near absolute zero (-273.15 ºC ), the theoretical temperature in when all motion (especially in atoms) completely stops.
  8. This past summer, I participated in a research program for undergraduates at the University of Central Florida in Orlando, Florida. The research topic I was assigned ties in with the field of nanotechnology. The abstract in the next slide give a brief description of the project.
  9. Photonic crystals are periodic dielectric nanostructures that affect the propagation of electromagnetic waves. They allow and forbid certain electron energy bands. The basic phenomenon behind photonic crystals is based on diffraction, or the bending and spreading of waves. Periodicity of photonic crystal structures must be at the same length scale of the wavelength of the electromagnetic waves and allows them to operate in the visible portion of the spectrum. The following pictures shown are those photonic crystals that are found in nature. They include the opal gemstone, the sea mouse, the feathers of a peacock, and most specifically, the wings of a butterfly.
  10. Researchers have strived to come up with the proper fabrication methods to synthesize these photonic crystals. At that point, we can hope to use these methods for commercial uses. The methods cold be used to hopefully produce paints, cosmetics, and fabrications. The manipulation of nanomaterials have already been proven to develop computer circuits. Meanwhile, in our project, the Blue Morpho Rhenetor Butterfly was studied as its iridescence sparked our interest.
  11. The goal of the project was to gain images of cross sections cuts of the wing’s nanostructures. At which, the images were to be put to a MATLAB program that would perform what is called finite-difference time-domain modeling. The program simulates the natural phenomenon that takes place when light strikes nanostructures of the wings. The flowchart describes what happens in each step of the program.
  12. Equations (1) and (2) are two of Maxwell’s curl equations that, for the most part, deal with the electromagnetic fields of source-free materials. With all substitutions, vectors E and H are then written in their components.
  13. From there, more substitution is involved where the derivative in each component is approximated as shown above. They are plugged in the each of the components and the results are included in the FDTD algorithm to produce a model of the color distribution of the wing. The above example shows the substitution for equation (8) in the previous slide.
  14. The result of the program is the following model of the program. The results basically show the reflection of the colors, measuring which wavelengths are absorbed and which ones and deflected. Those wavelengths that are reflected are those that are seen on the surface of a butterfly wing. The results shown are not accurate since the images were taken from a scientific journal.
  15. Computer circuits are small pieces of semiconducting material with an electrical circuit consisting of what could be as many as millions of transistors. Usually at developed in sizes less than 5 cm, they assist in the overall functionality of computers, making them faster, compact, and most importantly, inexpensive. These computer circuits could be used in the computer for the central processing unit or for memory chips.
  16. Computer circuits are made of semiconducting material , or material that is neither a good conductor or insulator. The most common semiconductor material used for computer circuits is silicon. Manufacturers usually take a sample of ultrapure silicon and slice them into thin wafers and covered with a light-sensitive coating. A template is then projected on the onto the wafer with intense ultraviolet light. The parts of the wafer still exposed to are showered with gases and ions to create transistors which are connected when metal is laid and insulated.
  17. The world of computer technology can benefit from the development in nanotechnology as it can drastically reduce the size of computer circuits used in the overall functionality of a computer console. A F-100 microprocessor, for example, with its 0.6 x 0.6 cm size can fit through an eye of an needle. Meanwhile, a timeline is show from the year 1946, when the ENIAC (Electronic Numerical Integrator And Computer), the first fully electronic digital computer. The ENIAC weighed more than 30 tons, occupied 1800 square feet, and consumed 175 kw of power. Nanotechnology in the computer world later progressed the development of microprocessors as they allowed for smaller, compact desktop computers popularized in the early 1980s, and soon allowed laptop computers to be presented throughout the early and mid-1990s
  18. The one major disadvantage in the handling of nanomaterials is its environmental dangers it may pose. Recent studies have shown that the release of particles into the environment point to possible carcinogen properties that may cause cancer, particularly in carbon nanotubes. Fortunately enough, a good number of products involving nanotechnology-based parts are bounded with other materials or components that keep its particles from floating freely. Meanwhile, officials urge for regulations to be placed to minimize any harmful threats.
  19. Most lower-level computer science classes at Spelman, as well as most accredited institutions in some sense talk about nanotechnology. Whether if the subject is topically discussed, or if inventions of nanotechnology is briefly discussed in class, lower-level classes in some way touch up on how nanotechnology is applied to the world of computer science.