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79
Study of Defect and Doping on Electrical and Tribological Behaviors of Graphene and Graphene Like Materials Fariba Nazari Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan

Transcript of FaribaNazari - TCCWtccw.ir/tccw2017/dr.f.nazari.pdf · 2017-04-24 · Green tribology (Human joint...

  • Study of Defect and Doping on Electrical and Tribological Behaviors of

    Graphene and Graphene Like Materials

    Fariba Nazari

    Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan

  • Natrue, 2016, 539,502

  • Contents

    Short Introduction to Tribology

    Potential Energy Surface and Artificial Neural Network

    Registry Index

    Electronic Properties of Doped and Defected Typical 2D Structures

    Tribological Properties of Doped and Defected Typical 2D Structures

  • The term derives from the Greek root

    Tribology

    “ Tribo ” “Logia”And

    That means to rub, grind, or wear away "study of”And

    Tribology is defined as the science and technology of

    Interacting surfaces in relative motion, which involves friction,

    wear, and lubrication

    Phys.Chem.Chem.Phys., 2015, 17, 12908

  • Because of its enormous practical and technological importance, the friction

    problem has stimulated progress over the centuries

    Frictional motion plays a central role in diverse systems and phenomena that span

    vast ranges of scales from

    The nanometer contacts inherent in micromachines and nanomachines

    Biological molecular motors

    The geophysical scales characteristic of earthquakes

    Springer International Publishing Switzerland 2015

    E. Gnecco and E. Meyer (eds.), Fundamentals of Friction and Wear on the Nanoscale,

    NanoScience and Technology, DOI 10.1007/978-3-319-10560-4_10

  • Historical figures from Leonardo da Vinci onward have brought friction into the

    field of physics, with the formulation of time-honored phenomenological

    frictional laws, which have been referred to as the Coulomb-Amontons laws

    These statements can be briefly summarized as follows

    (iii) kinetic friction does not depend on the sliding velocity and is smaller than

    static friction

    (i) Frictional force is independent of the apparent area of contact

    (ii) Frictional force is proportional to the normal load

    In the light of a mass of empirical data, serious

    Attempts were made in the first half of the 20th century

    toward a microscopic understanding of these laws

    Rev. Mod. Phys. , 2013, 85 , 529-552

  • David Tabor

    1913

    -2005

    Peter Jost1921-2

    016

    Frank Philip Bowden and David Tabor (1950) showed that, at

    a microscopic level, the actual area of contact between surfaces is a

    very small fraction of the apparent area. This actual area of contact,

    caused by "asperities" (roughness) increases with pressure

    Physics today, 2006,72

    http://www.telegraph.co.uk/obituaries/2016/06/15/peter-jost-mechanical-engineer--obituary/

  • First, progress in the general area of complexity

    Third, The developments in nanotechnology

    Second, computer simulations

    Springer International Publishing Switzerland 2015

    E. Gnecco and E. Meyer (eds.), Fundamentals of Friction and Wear on the Nanoscale,

    NanoScience and Technology, DOI 10.1007/978-3-319-10560-4_10

    The development of new tools allowing nanometer-scale measurements.

    STM AFM SNOM

    One area that has greatly benefited from the efforts mentioned above is tribology

  • Experimental observations (for instance, velocity and temperature

    dependencies of friction) have been rationalized within simplified models

    including empirical parameters

    Despite the practical and fundamental importance of friction and the growing

    efforts in the field, many key aspects of the dynamics of friction are not yet

    well understood

    Even for the most studied nanoscale systems, such as AFM sliding on graphite or

    NaCl surfaces, a microscopic mechanism of friction is still lacking

    Nature Materials, 2010, 9, 8-10

  • New areas of tribology

    Since the 1990s, new areas of tribology have emerged

    Biotribology

    Green tribology

    (Human joint prosthetics, Dental materials)

    (Tribology of clean energy sources, Green lubricants, Biomimetic tribology)

    Nanotribology

    ( MEMS/NEMS)

    Nanotribology is a branch of tribology and was coined by Krim,

    Solina and Chiarello

    Nano-electromechanical systems (NEMS)

    Micro-electromechanical systems (MEMS)

    PLOS ONE , 2013 , 8 (12) , e81094

  • Owing to larger surface area in MEMS or NEMS

    Surface forces such as adhesion, friction, and meniscus

    and viscous drag forces become large

    There is a need to develop

    lubricants and identify lubrication methods that are

    suitable for MEMS/NEMS

    Researchers anticipated that once the principal

    mechanisms had been identified in these nanometer-

    size systems, they could be “scaled up” for better

    understanding of friction in technologically relevant,

    macroscopic systems

  • 12

    Intrinsic complexity of highly nonlinear and non-equilibrium

    processes going on in any tribological contact

    Which include detachment and reattachment of multiple

    microscopic junctions

    Springer International Publishing Switzerland 2015

    E. Gnecco and E. Meyer (eds.), Fundamentals of Friction and Wear on the Nanoscale,

    NanoScience and Technology, DOI 10.1007/978-3-319-10560-4_10

  • 13

    Potential Energy Surface

  • Fix positions of nuclei, {R1…RN}, solve DFT equations self-consistently.

    22

    2

    ( ') '[ ( )] ( ) ( )

    | | | ' |

    ( ) | ( ) |

    Rxc i i i

    R

    i i

    i

    Z e r drV r r r

    r R r r

    r f r

    14

  • 15

  • 16

    Moiré pattern

  • 17

    The form of the potential is chosen based on physical

    considerations

    The form of the potential is chosen based on mathematical

    considerations

    If the systems are too large for the application of electronic

    structure methods

    They are particularly useful

    If long MD trajectories or extended Monte Carlo simulations are

    required

    If many MD trajectories are needed to obtain statistically

    converged results

    International Journal of Quantum Chemistry 2015, 115, 1032–1050

  • 18

    Ideal Potential

    Requirements

    Transferable

    International Journal of Quantum Chemistry 2015, 115, 1032–1050

  • 19

    Artificial neural networks (NNs) constitute class of flexible

    functions

    Inputs

    Outp

    ut

    D. Kriesel, A Brief Introduction to: Neural Networks. Germany: Dr. Peter Kemp, Notary (ret.), Bonn, 2005.

  • 20

    Firing neuron stimulating its neighbors

  • 21International Journal of Quantum Chemistry 2015, 115, 1032–1050

  • 22

    The values of the nodes in the first hidden layer are then

    calculated in two steps

    A), For each node m in the hidden layer a weighted sum 𝑥𝑚𝑙 of

    the input coordinates {Gi} is calculated, and the bias weight is

    added the bias weight is added

    B) Then, a non-linear function 𝑓𝑚𝑙 is applied to 𝑥𝑚

    𝑙 , which provides the capability

    to fit arbitrary functions. This finally yields the numerical value 𝑦𝑚𝑙 of the node

    International Journal of Quantum Chemistry 2015, 115, 1032–1050

  • 23International Journal of Quantum Chemistry 2015, 115, 1032–1050

  • 24

    Artificial Neural Network

  • 25

  • 50×24 Grid

    26

  • 27

  • Unit cell of bilayer Graphene consist 4 C atom

    28

  • 29Phys. Chem. Lett., 14, 2013, 2376.

    The Registry Index: A Quantitative Measure of

    Materials’ Interfacial Commensurability

  • 30

    RI is based on simple geometrical parameter

  • 𝑅𝐼 ∝ 𝑆𝑖𝑗

    31Phys. Chem. Lett., 14, 2013, 2376.

  • 32

    ri=?

    O. Hod, Phys. Chem. Lett., 14, 2013, 2376.

  • En

    erg

    y (

    Ry)

    33Phys. Chem. Lett., 14, 2013, 2376.

    ri=0.5LCC

    G@G

  • 34

  • Different electronegativities of B and N atoms

    Eg=0 eVEg=4.65 (5.97) eV

    Isoelectronic counterpart of graphene

    35

  • Obviously, synthesized samples always contain defects of different types.

    36F. Banhart et al., ASC Nano, 5, 2011, 26

  • 585-Extended Line Defect

    or “Self-doping”, in which extended defects are introduced into the

    graphene lattice

    Topological Defect

    37J. Lahiri et al., Nat. Nanotech., 5, 2010, 326

  • 38

    Graphene or

    h-BN

    585 ELD 5775 ELD

    Zigzag edge

    Arm

    chair

    edge

  • Eg=2.75 eV

    G as a metallic wire h-BN as a semicond. wire

    39

    VBES CBES

    585 extended defect in

  • 40

    Eg=3.21 eV

  • G-585-ELD G

    increase the charge transport of

    41

    h-BN h-BN-585-ELD

  • 42

    Coexistence of defect and doping

  • 43

    Coexistence of defect and doping

  • 44

    Doping

  • 45

    Direct band gap

    Indirect band gap

  • 46

    Movable Elements

    Schemes of graphene-based NEMS. A: nanorelay(position 'on'), B: nanorelay (position 'off'),

    Physica E: Low-dimensional Systems and Nanostructures, 44, 949, 2012

    Bilayer graphene

  • 47

    o No movemento No heato No friction

    Pushing the object against the other causes ”Sliding Friction”

    o Larges surface contacto Extreme high heato Tremendous energy needed to move object

  • 48M. Dienwiebel et al., Phys. Rev. Lett., 92, 2004, 126101.

    Frictional force microscopy

  • 49

    Moiré pattern

  • 50M. Dienwiebel et al., Phys. Rev. Lett., 92, 2004, 126101.

    Narrow peaks with high friction

  • Moiré pattern

    Sufficiently large heterogeneous

    layered interfaces act as promising

    candidates for dry lubrication purposes

    51

  • 52

    Effect of doping on tribological properties of 2D materials

    BNC2

  • 53

    G h-BN BNC2

    BNC2@G BNC2@h-BN BNC2@BNC2

  • 54

    BNC2@G

  • 55

    BNC2@BN

  • 56

    BNC2@BNC2

  • Unit cell of bilayer Graphene consist 4 C atom

    57

  • 58

    RIh−BNC2/G=

    SCC−SCCAB + SCN−SCN

    AB +(SCB−SCBAB)

    SCCAA−SCC

    AB + SCNAA−SCN

    AB +(SCBAA−SCB

    AB)

    rC = 0.7155 Å, rN = 0.69 Å, rB = 0.1 Å

  • 59

    𝑅𝐈 Τℎ−𝐵𝑁𝐶2 ℎ−𝐵𝑁 =𝑆𝐶𝑁 − 𝑆𝐶𝑁

    𝐴𝐵 + 𝑆𝐶𝐵 − 𝑆𝐶𝐵𝐴𝐵 + 𝑆𝑁𝑁 − 𝑆𝑁𝑁

    𝐴𝐵 + 𝑆𝐵𝐵 − 𝑆𝐵𝐵𝐴𝐵 − 𝑆𝑁𝐵 − 𝑆𝑁𝐵

    𝐴𝐵

    ሻ𝑆𝐶𝑁𝐴𝐴 − 𝑆𝐶𝑁

    𝐴𝐵 + 𝑆𝐶𝐵𝐴𝐴 − 𝑆𝐶𝐵

    𝐴𝐵 + 𝑆𝑁𝑁𝐴𝐴 − 𝑆𝑁𝑁

    𝐴𝐵 + 𝑆𝐵𝐵𝐴𝐴 − 𝑆𝐵𝐵

    𝐴𝐵 − (𝑆𝑁𝐵𝐴𝐴 − 𝑆𝑁𝐵

    𝐴𝐵

    rC=0.7155Å, rN=0.6276Å, rB=0.2868Å

  • 60

    𝑅𝐈 Τℎ−𝐵𝑁𝐶2 ℎ−𝐵𝑁𝐶2 =𝑆𝐶𝑁 − 𝑆𝐶𝑁

    𝐴𝐵 + 𝑆𝐶𝐵 − 𝑆𝐶𝐵𝐴𝐵 + 𝑆𝐶𝐶 − 𝑆𝐶𝐶

    𝐴𝐴 + 𝑆𝑁𝑁 − 𝑆𝑁𝑁𝐴𝐴 + 𝑆𝐵𝐵 − 𝑆𝐵𝐵

    𝐴𝐴 + 𝑆𝑁𝐵 − 𝑆𝑁𝐵𝐴𝐴

    ሻ𝑆𝐶𝑁𝐴𝐴 − 𝑆𝐶𝑁

    𝐴𝐵 + 𝑆𝐶𝐵𝐴𝐴 − 𝑆𝐶𝐵

    𝐴𝐵 + 𝑆𝐶𝐶𝐴𝐴 − 𝑆𝐶𝐶

    𝐴𝐵 + 𝑆𝑁𝑁𝐴𝐴 − 𝑆𝑁𝑁

    𝐴𝐵 + 𝑆𝐵𝐵𝐴𝐴 − 𝑆𝐵𝐵

    𝐴𝐵 + (𝑆𝑁𝐵𝐴𝐴 − 𝑆𝑁𝐵

    𝐴𝐵

    rC=0.7155Å, rN=0.6494Å, rB=0.2625Å

  • 61

    BNC2@G

    Robust superlubricity

    Effect of flake size and misfit angle on the corrugation of the sliding RI surface of the heterogeneous h-BNC2/graphene interface. (a) Schematic

    representation of a square 72 × 42 h-BNC2 flake on top of an graphene layer with a misfit angle of 0°; (b) Maximal variations of the RI calculated alonglinear paths in the sliding direction as a function of interlayer misfit angle. The inset shows maximal RI corrugation as a function of flake size (number of

    atoms in the flake). The different diagrams presented in panel (b) are normalized as to the size of the relevant h-BNC2 flake such that a maximal RI

    corrugation of 1 is obtained for a strained h-BNC2 flake consisting of the same number of atoms and geometry having no lattice mismatch with the

    underlying graphene layer.

  • 62

    BNC2@h-BN

    Effect of flake size and misfit angle on the corrugation of the sliding RI surface of the heterogeneous h-BNC2/h-BN interface. (a) Schematic representation

    of a square 72 × 42 h-BNC2 flake on top of an graphene layer with a misfit angle of 45°. (b) Maximal variations of the RI calculated along linear paths inthe sliding direction as a function of interlayer misfit angle. (Inset) Maximal RI corrugation as a function of flake size (number of atoms in the flake).

    Robust superlubricity

  • 63

    BNC2@BNC2

    Effect of flake size and misfit angle on the corrugation of the sliding RI surface of the heterogeneous h-BNC2/h-BNC2 interface. (a) Schematic

    representation of a square 72 × 42 h-BNC2 flake on top of an graphene layer with a misfit angle of -20°. (b) Maximal variations of the RI calculated alonglinear paths in the sliding direction as a function of interlayer misfit angle. (Inset) Maximal RI corrugation as a function of flake size (number of atoms in

    the flake).

    Superlubricity

  • 64

    Effect of topological defect on tribological properties of 2D materials

  • Defected nano-flake

    65

  • 66

  • 1- Calculation of PES

    2- Fitting process for finding the circles radii

    3- Calculation of RI

    4- Analysis of RI corrugation

    67

  • 𝑅𝐼 =σ𝑖≠𝑗𝑁𝐴 𝑆𝑖𝑗 − σ𝑖≠𝑗

    𝑁𝐴 𝑆𝑖𝑗𝑋

    σ𝑖≠𝑗𝑁𝐴 𝑆𝑖𝑗

    𝑌 − σ𝑖≠𝑗𝑁𝐴 𝑆𝑖𝑗

    𝑋

    68

  • GD@G

    BND@BN

    69

  • GD@BN

    BND@G

    70

  • 71

  • 0.0

    0.5

    1.0

    -20 0 20 40 60 80

    RI

    corr

    ug

    ati

    on

    Misfit angle Φ (degree)

    1.0

    0.9

    0.8

    0.7

    0.6

    0.5

    0.4

    0.3

    0.2

    0.1

    0.0

    A=32, B=68,C=204, D=520, E=700 and F=1908

    A=32C=204F=1908

    0.0

    0.5

    1.0

    -20 0 20 40 60 80

    RI

    corr

    ug

    ati

    on

    Misfit angle Φ (degree)

    1.0

    0.9

    0.8

    0.7

    0.6

    0.5

    0.4

    0.3

    0.2

    0.1

    0.0

    A B C D E F

    Narrowing with increasing flake size

    of the RI corrugation maximal peak is found but without

    decreasing the intensity of the peaks

    72

  • 0.0

    0.5

    1.0

    -20 0 20 40 60 80

    RI

    corr

    ug

    ati

    on

    Misfit angle Φ (degree)

    1.0

    0.9

    0.8

    0.7

    0.6

    0.5

    0.4

    0.3

    0.2

    0.1

    0.00.0

    0.2

    0.4

    0.6

    0.8

    1.0

    A B C D E FMa

    x R

    Ico

    rru

    ga

    tion

    Defect in the sliding flake

    results in a state with robust superlubricity.

    73

  • GD@G

    GD@BN

    BND@G

    BND@BN

    74

  • 75

    Conclusion

    GrapheneZero band gap

    h-BNinsulator

    DefectedGraphene

    5 5

    8

    87

    7

    5 55 5

    5 5 5 5

    7

    585 ELD

    Metallic wire

    5775 ELD

    Metallic sheet

    n

    n

    Defectedh-BN

    Semi. Con. wire Semi. Con. wire

    o The presence of individual defects

    increases the charge transport

    character.

    o The coexistence of dopants and defects

    causes the direct–indirect band gap

    change.

    o The electrical properties of systems strongly depend on the

    orientation of grain boundaries and whether these are

    parallel or perpendicular to the extended line defects.

  • 76

    Conclusion

    Incommensurability Between layers

    Monolayer anisotropy

  • 77

    Conclusion

    BNC2@Graphene

    Robust superlubricity

    BNC2@BNC2

    Superlubricity

    BNC2@h-NBLargest incommensurability

    Most monolayer anisotropy

  • 78

    Conclusion

    GD@G and BND@BN

    homo-junctions

    Symmetry breaking of the

    sliding flake

    Robust superlubricity

    GD@BN and BND@G hetero-junctions

    The 585 extended line defect (585-ELD)

    Largest incommensurability

    and monolayer anisotropy

  • 79

    One can suggest that coexistence of dopantsand defects in layered systems will provideappropriate electrical and mechanicalproperties that make them extremely wellsuited for use in nanoelectromechanicalsystems.

    Conclusion