design and optimisation of photonics devices: supporting a

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Design and Optimisation of Photonics Devices: Supporting a Key Enabling Technology Prof. B. M. A. Rahman, City, University of London, UK [email protected] EngiTek 2020 Congress 16 th June, 2020, Irbid, Jordan

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Page 1: Design and Optimisation of Photonics Devices: Supporting a

Design and Optimisation of Photonics Devices: Supporting a Key Enabling

Technology

Prof. B. M. A. Rahman,

City, University of London, UK

[email protected]

EngiTek 2020 Congress16th June, 2020, Irbid, Jordan

Page 2: Design and Optimisation of Photonics Devices: Supporting a

Evolution of Engineering to ElectronicsEmergence of PhotonicsBecoming a Key Enabling TechnologyOverview of ModellingBriefly some our resultsConclusions

Outline of my talk

Page 3: Design and Optimisation of Photonics Devices: Supporting a

Michael Faraday

FRS

in London

1791-1867: 1831 relation between time varying magnetic field and current

Origin of Electrical Engineering

Page 4: Design and Optimisation of Photonics Devices: Supporting a

Origin of Electronics

• 1904: Sir John Ambrose Fleming; Vacuum Tube – Diode• Head of EE, University College London

• 1906: Lee De Forest: Triodes

Start of electronics

Page 5: Design and Optimisation of Photonics Devices: Supporting a

Sir John Ambrose Fleming

1849-1945: invented electronic valve in 1904

Page 6: Design and Optimisation of Photonics Devices: Supporting a

1947: Invention of transistor in Bell Labs –started the revolution of electronics

Page 7: Design and Optimisation of Photonics Devices: Supporting a

Rapid Development of Electronics• Electronic valves• Transistors• IC > LSI > VLSI

• This rapid development had profound affect on all aspects of our life in the 20th Century

Page 8: Design and Optimisation of Photonics Devices: Supporting a

Moore’s Law

Page 9: Design and Optimisation of Photonics Devices: Supporting a

Let’s follow

• Emergence and progress of the Information Technology

Page 10: Design and Optimisation of Photonics Devices: Supporting a

James Clerk Maxwell, FRS

1864: Maxwell’s Equations: predicted electromagnetic waves

1887: Henrich Hertz demonstrated experimentally

King’s College, London; Cambridge

Page 11: Design and Optimisation of Photonics Devices: Supporting a

• Rapidly followed by the invention of

• Radio in 1897• TV 1927• Phone 1876• Mobile phone 1973• Internet 1969

Page 12: Design and Optimisation of Photonics Devices: Supporting a

The

Supported growth of Internet Dec 08: 1.5 billion users

Growth 1000% during last 20 years

Page 13: Design and Optimisation of Photonics Devices: Supporting a

In 2019 4.5 Billion Internet users out of 7.7 B populations

Page 14: Design and Optimisation of Photonics Devices: Supporting a

Global Internet traffic

Page 15: Design and Optimisation of Photonics Devices: Supporting a

2G 3G 4G 5G

DATA VOLUME1000x mobile data

CONNECTED DEVICES10x - 100x

~5x LOWER LATENCY

HIGH END-USER DATA RATES10x – 100x

10x POWER SAVINGFor low powered devicesSource: METIS

Page 16: Design and Optimisation of Photonics Devices: Supporting a

We talked about revolution of electronics and continuous progress of communication technologies

What role can the photonics play here?

Page 17: Design and Optimisation of Photonics Devices: Supporting a

What is Photonics?

Electronics manipulates Electrons

but Photonics manipulates photons or light

Page 18: Design and Optimisation of Photonics Devices: Supporting a

Emergence of Photonics in 1960s• Semiconductor lasers• Optical Fibres

Page 19: Design and Optimisation of Photonics Devices: Supporting a

Nobel prize 1964

• Townes, Basov and Prokhorov (from the Soviet Union) won the Nobel Prize in 1964 for their work on both microwave and optical lasers

• Schawlow won the Nobel prize in 1979 for work on laser spectroscopy

Page 20: Design and Optimisation of Photonics Devices: Supporting a

Nobel prize in 2009

Optical fibre development

• Concept of modern clad optical fibre developed by Kao and Hockham in the UK at STL in 1966

• Presented at IEE in January 1966• Identified 1000 dB/km loss due to impurities

• By 1970 Corning reported loss reduced to 20 dB/km

Page 21: Design and Optimisation of Photonics Devices: Supporting a

Photonics

• Most of the major inventions were from the need of telecommunication sectors

• Most of the market is related to consumer products

Page 22: Design and Optimisation of Photonics Devices: Supporting a

New communication systems

FLAG Pacific -1: 22000 km, 8 pairs of fibres

Each fibre WDM 64 λ @ 10 Gb/s = 5 Tb/sec

= 60 million simultaneous telephone channels

Optical communication is a part of Photonics

Page 23: Design and Optimisation of Photonics Devices: Supporting a

Impact of Photonics• Telecommunications• Appliances: CD/DVD Players, Display, scanner,

Laser printers, illuminations • Industrial uses: material processing• Medical applications, corneal sculpting• Sensing: physical, chemical, biological

Page 24: Design and Optimisation of Photonics Devices: Supporting a

But now big market is consumer products such asToday: Photonics for storage & retrieval

Storage 25 GB Blue Ray DVD

Page 25: Design and Optimisation of Photonics Devices: Supporting a

Today: Photonics for Display

New Flat Screen TV, New Flat Screen TV, HD or UHD (4k = 3840x2160 pixels)

also screen for mobile phones

Page 26: Design and Optimisation of Photonics Devices: Supporting a

Photonics for printing

Today’s colour laser printer

Page 27: Design and Optimisation of Photonics Devices: Supporting a

Laser in healthcare

LASIK: Vision correction

Page 28: Design and Optimisation of Photonics Devices: Supporting a

Ultraviolet Excimer laser for eye surgery

Page 29: Design and Optimisation of Photonics Devices: Supporting a

Photonic for illuminations

More efficient than incandescent or fluorescent lights

Page 30: Design and Optimisation of Photonics Devices: Supporting a

Optical sensors: a massive market

Optical pressure sensor

There can be 200 sensors in a car

Page 31: Design and Optimisation of Photonics Devices: Supporting a

Laser in material processing

Page 32: Design and Optimisation of Photonics Devices: Supporting a

The University for businessand the professions

Car and plane’s body parts are processing by high power lasers

Page 33: Design and Optimisation of Photonics Devices: Supporting a

Stents are fabricated by high power lasers

Page 34: Design and Optimisation of Photonics Devices: Supporting a

Photonics

• Horizon 2020 EU Research Programme

• Photonics – A Key Enabling Technology (KET)

Page 35: Design and Optimisation of Photonics Devices: Supporting a

Photonics technology: The pillars

• Materials• Devices• Systems

• Exploitations

Page 36: Design and Optimisation of Photonics Devices: Supporting a

Photonic Devices Work at City University

Various types of Optical Waveguides

Optical Modulators, 3dB couplers, MxNsplitters, filters, Bragg gratings, Spot-size converters, Compact bends, Nonlinear Devices, VCSELs, Polarization Splitters, Polarization Rotators, Polarization Controllers, etc.

Page 37: Design and Optimisation of Photonics Devices: Supporting a

For my contribution over last 41 years is the developing finite element based numerical modelling tools for photonic devices

• Fellow of IEEE • Fellow of OSA• Fellow of SPIE

Page 38: Design and Optimisation of Photonics Devices: Supporting a

Types of Photonic Devices

• Uniform Optical Waveguides: Modal Solutions

• Nonuniform Guided-wave structures• Butt-coupled uniform sections• Junction Analysis• Arbitrarily nonuniform structures• Beam Propagation Methods

• Time-domain approaches

Page 39: Design and Optimisation of Photonics Devices: Supporting a

Uniform in z-direction: n(x,y)Find modal field E(x,y) or H(x,y) and γ = α + j β

Optical waveguides are key components

Page 40: Design and Optimisation of Photonics Devices: Supporting a

Modal solutions for optical waveguides

• Semi-analytical approach• Effective Index Method • Numerical approaches• Fourier-based method : Spectral Index Method• Finite difference method• Finite element method• Transfer Matrix method• Beam Propagation Method•

Page 41: Design and Optimisation of Photonics Devices: Supporting a

Finite Element Method (FEM)

• Structural problems• Fluid dynamics• Thermodynamics• Electromagnetics

• Electrical machine designs• Radio frequency, microwave• Optical waveguides & Devices

Page 42: Design and Optimisation of Photonics Devices: Supporting a

DiscretizationIn the FEM the structural cross-section is

subdivided into a finite number of elements.

Page 43: Design and Optimisation of Photonics Devices: Supporting a

Discretisation

In the FEM the waveguide cross-section (x,y) is subdivided into a finite number of elements.

Any structure can be represented

element

Page 44: Design and Optimisation of Photonics Devices: Supporting a

The Variational Formulation

( ) ( ) ( ) ( )

∫∫Ω⋅⋅

Ω⋅⋅∇⋅∇

+Ω×∇⋅×∇

=

dHH

dHHdHH

µεαε

ωˆ

*

*

0

1*

2

IEEE JLT p.682, 1984

Full Vectorial

Naturally satisfies boundary conditions

Exact-in-the-limit

Valid for general anisotropic refractive index

Citations: 1400+

Page 45: Design and Optimisation of Photonics Devices: Supporting a

Discontinuity AnalysisMisalignment

Directional Coupler

MMI

Butt-coupled uniform sectionsTo obtain modal coefficients: needs junction analysis

Page 46: Design and Optimisation of Photonics Devices: Supporting a

Least Squares Boundary Residual method

The energy functional J is given by

J E E Z H H dtI

tII

tI

tII= − + ⋅ −∫

202

Ω

Ω

Continuity of Et and Ht is enforced

IEEE JLT p.52, 1988

Cited 120+ times

Page 47: Design and Optimisation of Photonics Devices: Supporting a

Beam Propagation Method

essential for z-variantn(x,y,z) type of structures

• Fourier, FDM or FEM-based• Scalar, Semivectorial, or Vectorial formulation• ABC, TBC, PML Boundary condition

• H-field based: JLT 2000 paper cited 140+ times

Page 48: Design and Optimisation of Photonics Devices: Supporting a

Time-domain approach

• FDTD• Valid for general electromagnetic problems• Particularly useful for pulse propagation, strong

discontinuities (photonic crystals, nanoparticles) and strong nonlinearity

• Computationally very versatile but computer intensive as being 4-dimesnional (x,y,z,t)• Often approximation is used to reduce 1D• Poor in representing very fine features• Poor in representing curved/slanted surfaces

Page 49: Design and Optimisation of Photonics Devices: Supporting a

Needs and emerging areas of research in photonics

• Higher data rate for communications

• Silicon photonics

• Plasmonics

• Nonlinear Photonics

• Bio-Photonics

• Metamaterials

Page 50: Design and Optimisation of Photonics Devices: Supporting a

The University for businessand the professionsWaveguide: after optical fibre > Photonic Crystal Fibre

First reported by Prof. Philip Russel, Univ Bath, England

Single material

Low loss

Adjustable spot size

Endlessly single mode (nearly)

Adjustable GVD

Page 51: Design and Optimisation of Photonics Devices: Supporting a

A 2-D, Hx contour field, for the Hx11 mode

-4 -3 -2 -1 0 1 2 3 4-4

-3

-2

-1

0

1

2

3

4

Air Holes

Defect Region

Page 52: Design and Optimisation of Photonics Devices: Supporting a

Transmission Capacity in Optical Fibers

Fig. The evolution of transmission capacity in optical fibers due to technological breakthroughs.*

*White Paper (2013) “Space Division Multiplexing: A new milestone in the evolution of fiber optic communication,” Nokia Siemens Networks, http://modegap.eu/?p=767. 52

Page 53: Design and Optimisation of Photonics Devices: Supporting a

Data demand increasing rapidly and continuously

• WDM

• Polarisation division multiplexing

• Space division multiplexing

• Vortex modes?

Page 54: Design and Optimisation of Photonics Devices: Supporting a

8-Core MCF InterconnectΛ = core to core pitch

2Λ= distance between the two rows

r1 = core radius

r2 = distance between the center of core and the inner edge of trench

r3 = distance between the center ofcore and the outer edge of trench

Δ1 = relative refractive-index differencebetween core and cladding

Δ2 = relative refractive-index differencebetween trench and cladding

W = width of the trench layer Fig. Schematics of (a) 8-core MCF and (b) trench-assisted index profile.

4

Page 55: Design and Optimisation of Photonics Devices: Supporting a

Results and Discussion Contd…

Fig. Variations of mode coupling coefficientand coupling length with the core to corepitch for an 8-core TA-MCF, for differentΔ2, when r2/r1=2.0, r3/r1=3.0, and W/r1=1.0

Fig. Variations of crosstalk with core tocore pitch for an 8-core TA-MCF, fordifferent Δ2 values.

5

IEEE PJ 2017

Page 56: Design and Optimisation of Photonics Devices: Supporting a

Multicore Fiber (MCF)

Crosstalk is a potential disadvantage of MCF

Fig. Schematic of MCFs (a)homogeneous MCF* (b) heterogeneousMCF# (c) trench-assisted MCF* and (d)hole-assisted MCF$.*

56

Page 57: Design and Optimisation of Photonics Devices: Supporting a

Results and Discussion Contd…

Fig. HY field of the fundamental mode for 8-core step index and TA-MCF, when r2/r1= 2.0, r3/r1= 3.0, and W/r1= 1.0.

Fig. Variation of coupling length and crosstalk with the r2/r1 for 8-core TA-

MCF OI, when r1 = 4.45 μm, Δ1 = 0.35%, Λ = 45 μm, and W/r1= 1.0.

7

Opt Lett. 2015, IEEE Pj 2016, Opt Comm 2016

Page 58: Design and Optimisation of Photonics Devices: Supporting a

Mode splitter for mode division multiplexing

• Important device for multimode transmission systems

Page 59: Design and Optimisation of Photonics Devices: Supporting a

H𝑦𝑦11

H𝑦𝑦11

H𝑦𝑦11

H𝑦𝑦11, H𝑦𝑦

21 H𝑦𝑦11, H𝑦𝑦

21, H𝑦𝑦31

SiO2

Air Si Si

S

WMWS

H

Asymmetric Directional Coupler

Page 60: Design and Optimisation of Photonics Devices: Supporting a

JLT May 2016

Also in OSA Continuum 2019

Page 61: Design and Optimisation of Photonics Devices: Supporting a

SHG, supercontinuum sources

• SHG in LiNbO3 in 1997

• SHG in GaAs in GaAs 2000

• SHG in ZnO in 2013

• Four wave mixing in PCF Opt Lett May 2015, • THz generation by FWM: IEEE STQE Inv paper Apr 2016,

and IEEE PTL Aug 2016 issue

Page 62: Design and Optimisation of Photonics Devices: Supporting a

Opt Exp Dec 14 and May 15Cover page IEEE QE April2017

Pump wavelength 2.0 µm

Black-solid line curve represents the SCspectrum for the waveguide containingGe11.5As24S64.5 glass for its lower claddingand red-dashed line curve represents thespectrum for the structure employingMgF2 as its lower cladding.

Spectral evolution with a peak power of 500 Wfor (a) air-clad all-chalcogenide waveguide; (b)air-clad chalcogenide core employing MgF2for its lower cladding.

JOSA B Nov 2015, Feb 2018, JAP 2018, PTL Nov 2017, A0 June 2020Cited more than

210+ time

Page 63: Design and Optimisation of Photonics Devices: Supporting a

Electronics vs Photonics

• The electronics revolution has been possible with the invention of transistor in 1947 and followed by their integration to IC → LSI → VLSI

• But for photonics, this integration is still in the early stage

• But why?

Page 64: Design and Optimisation of Photonics Devices: Supporting a

But so far integration of photonics components have been modest

Page 65: Design and Optimisation of Photonics Devices: Supporting a

So far Best in Photonics

• Best waveguides: lowest loss – silica fibres 0.2 dB/km• Best lasers: InP based• Best modulators: Lithium Niobate – but too long• Detectors: Ge• Isolator?? YIG? Not yet integrated!

• As there is not a single material which is good or reasonably good for all the functions, integration of the functions have been poor.

• What about silicon?

Page 66: Design and Optimisation of Photonics Devices: Supporting a

Silicon

• Best material for electronics• Heavy investments from semiconductor industries• Well developed CMOS foundry• Low cost, super precisions• Wonder material for electronics

• But is it good for photonics?

Page 67: Design and Optimisation of Photonics Devices: Supporting a

Silicon Photonic Waveguides

• Use of well developed Si CMOS Processing Technologies for electronics

• Compact waveguides and devices• Compact bends (< 5 µm) and systems

• Which will allow more components in a chip• Yield is much better• More functionality• More reliable, lower cost • Also can put electronics and photonics together

Page 68: Design and Optimisation of Photonics Devices: Supporting a

Silicon Strip Nanowire

Silicon n = 3.45

SiO2 n = 1.45

Silicon n = 3.45

Si Substrate

SiO2 Buffer Layer

3 μm

1.5 μm

260 nm

Width

Air / SiO2

Page 69: Design and Optimisation of Photonics Devices: Supporting a

Variations of Hy along X-axis and Y-axis for the Hy11 mode

Page 70: Design and Optimisation of Photonics Devices: Supporting a

Variations of the Ex field along the X and Y-axes for the Hy

11 mode

Optics Express 2010

Page 71: Design and Optimisation of Photonics Devices: Supporting a

Poly-Si Layers L

SiO2

Si

Poly-Si

h

sp

sH

w1

w2

Cross-section of the SSC

Schematic diagram of the multilayersbased spot-size converter

Schematic diagram of the SSC

Page 72: Design and Optimisation of Photonics Devices: Supporting a

Schematic of polarization-independent SSC based on the multi-layer. (a) Schematicdiagram for coupling process; (b) Cross-section of the multi-layer structure.

Scientific Reports, 2020

Page 73: Design and Optimisation of Photonics Devices: Supporting a

Example: Silicon Slot Waveguide

A coupled structure where individual guide cannot support a mode but together they can support only one supermode

Page 74: Design and Optimisation of Photonics Devices: Supporting a

Contour plot of Ey field for Hx11 mode

Page 75: Design and Optimisation of Photonics Devices: Supporting a

Horizontal slot as bio-sensor

Page 76: Design and Optimisation of Photonics Devices: Supporting a

Optimization of sensor designs

JLT May 2015

Page 77: Design and Optimisation of Photonics Devices: Supporting a

Sensing arm

Reference arm

Gas chamberInlet Outlet

LASER Optical detection

MZI

Wav

egui

de cr

oss-

sect

ion

𝑯𝑯𝒙𝒙− 𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇

𝑬𝑬𝒚𝒚− 𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇𝒇

Page 78: Design and Optimisation of Photonics Devices: Supporting a

Fast data transfer in computer• Rack-to-rack optical interconnection• Chip-to-chip• On-chip optical signal processing

• Use optical fibre for rack-to-rack• Use silicon nanowires for intra-chip

• Consider electronics and photonics on the same Si chip

Page 79: Design and Optimisation of Photonics Devices: Supporting a

GST – fabricated by Shanghai Jiao Tong University, China

Page 80: Design and Optimisation of Photonics Devices: Supporting a

GST – IEEE Photonics J Feb 2018

Page 81: Design and Optimisation of Photonics Devices: Supporting a

Global energy consumption

Page 82: Design and Optimisation of Photonics Devices: Supporting a

Illuminations

Page 83: Design and Optimisation of Photonics Devices: Supporting a

Also helps in fighting Global warming

Page 84: Design and Optimisation of Photonics Devices: Supporting a

Global electricity consumptions

Page 85: Design and Optimisation of Photonics Devices: Supporting a

Google data centre

Page 86: Design and Optimisation of Photonics Devices: Supporting a

Energy consumption of a data centre

• Google’s Joe Kava & Heather Dooley Data Centre• Energy consumption in 2015 was 5.7 TWhr

• Where power is consumed in a data centre?• 50% power consumed in transferring data from CPU to

memory through fine gold wire connectors

Page 87: Design and Optimisation of Photonics Devices: Supporting a

Power consumptions

• Global data centres consumes 416,000 GW• 3% of whole world’s electricity consumption

• 50-60% consumes in the gold wires transferring data in the processors

• By using optical waveguides, rack-to-rack, chip-to-chip or intra-chip data transfer this can be reduced

Page 88: Design and Optimisation of Photonics Devices: Supporting a

Global electricity generation

Page 89: Design and Optimisation of Photonics Devices: Supporting a

Pioneer in Renewable energy: solar cells

• Sun is source of all energy sources

• Including fossil fuel, hydro, or wind

• But, we can convert solar energy directly

• Silicon solar cells is the dominant technology now

• Research continuing to increase the efficiency and lower cost

Page 90: Design and Optimisation of Photonics Devices: Supporting a

A simple low-index contrast silica waveguide

Page 91: Design and Optimisation of Photonics Devices: Supporting a

Displacement vector profiles (a) UX, (b) UY and (c) UZ components of UX11

(a)

(b)

(c)

Ux1,1

Uy2,2

Uz2,1

JOSA May 2016

Page 92: Design and Optimisation of Photonics Devices: Supporting a

And effect of higher frequencyIEEE QE 2015

Page 93: Design and Optimisation of Photonics Devices: Supporting a

Photonics

• Support rapid data demanded by 5G, IoT,

• Support increased data rate using SDM, MDM

• Rack-to-rack to chip-to-chip data transfer by photonics

• Support lower power consumptions by data centre

• Combine photonics and electronics on one chip

• Reduce global warming through use of better solar cells

• Its uses in healthcare, industrial, consumer products

Page 94: Design and Optimisation of Photonics Devices: Supporting a

Conclusions

• At City, University of London, we have one of the strongest research groups in the world on Photonics Modelling.

• Today, I have briefly discussed the emergence, development of Photonics and particularly its ability to shape the future associated technology.

• Thanks to the organiser for arranging my talk.

• But missed to opportunity to visit Jordan – may be next time.