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1 TRANSFIAB WORKSHOP Nanosensors and Nanoreliability Bérengère Lebental & Laurence Bodelot Wednesday, December 7 th , 2016
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Nanosensors and Nanoreliability - IFSTTAR · 2017. 1. 12. · common experimental platform – Accelerate appropriation – Foster co-design – Create new concepts • True performance

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  • 1

    TRANSFIAB WORKSHOP

    Nanosensors and Nanoreliability

    Bérengère Lebental & Laurence Bodelot

    Wednesday, December 7th , 2016

  • The rise of the “Internet of Sensors” for Smarter Cities

    2

    The Internet of Sensors: Urban Data Gathering via the

    Internet of Things [Lebental 15a]

    From institutional data gathering to general public application

    2009 20162000

    Smart cars & wearables

    Sensors for exploitation (road, water, buildings)

    Institutional sensor systems

    Billi

    ons o

    f dev

    ices

  • The challenges of the “Internet of Sensors”

    3

    Enhanced sensing capabilities

    Multifunctionality

    Miniaturization

    Autonomy

    Resilience/ Reliability

    Manufacturability at low cost

    Market state of the art PROTEUS product

    Product

    TRIPOD from AQUALABO PROTEUS Smart sensor system

    Volume 1739 cm3 Approx. 125 cm3: 10x decrease in volume

    Measured parameters

    7 parameters in predefined ranges

    Temperature, pH, Redox potential, Conductivity, Salinity,

    dissolved Oxygen, Turbidity

    9 parameters with enhanced range of operation based on reconfigurability

    Identical: Temperature, pH, Conductivity, Dissolved Oxygen. Additional: Pressure, Flow rate, Chlorine, Chloride, Nitrate To be added in industrialization step: Salinity, turbidity

    Not applicable waste/rain water networks

    Adaptation to waste/rain water networksbased on reconfigurability and reliability

    Lifetime >3 months > 2 year, x8 increase in lifetimeCommunicati

    ngWired; handheld recorder

    Fully wireless with UWB communication including cognitive networking

    Data processing

    No in-built data treatmentOn-chip data processing for reaction, prediction

    and cognitionAutonomy Wired power supply Autonomous via vibration harvesting

    Selling price 2500€Pre-series: < 1000€; x2.5 decrease

    Industrial level:

  • Sense-city: reliability of the IoS

    4

    • Bring together R&D and urban planning stakeholders around a common experimental platform– Accelerate appropriation– Foster co-design– Create new concepts

    • True performance assessment for urban technologies– In realistic conditions– Over realistic durations

    Phase 1: the connected district,

    a shared experimental

    platform

    Self-diagnosis of road pavement [Ghaddab 14]

    Photovoltaic road

    Crack detection by nanosensor

    [Michelis 15a]

    Phase 2: urban scenarios in climatic conditions [Derkx 12]

  • Nanotechnologies : key-enabling technologies for the “Internet of Sensors”?

    5

    High power density batteriesBeyond CMOS electronic building blocksEnhanced sensing

    devices

    A lot of

    expectations!

  • Technology transfer for nanodevices?

    6

    How many nanodevices have durably reached real-life?

    CHALLENGES: REPRODUCIBILITY & RELIABILITY

    NanodevicesRARELY

    overcome the valley of

    depth of technology

    transfer

  • Nanocarbon as benchmark

    7

    Today’s carbon hype: 2 recent Nobel prizes

    Thermal conductivity: >5x copper

    Electron mobility: >100 x silicon

    Mechanical properties:Young’s modulus: 5 x steel

    [Smalley 03, Allen 09, Mochalin 12, DeVolder 13]

    Applications:-Beyond-Moore electronics

    -Energy applications -Filler in nanocomposites

    - Drug delivery and therapy

  • Nanocarbon sensors

    8

    Gas sensors: Vapor water (relative humidity), Atmospheric gas Dangerous gas (civil or defense)Volatile Organic Compounds Biomarkers in human breath

    Other: Strain [Ghaddab 14, Lebental 14a], flow, thermal

    Chemical sensing:pH, chlorine, heavy metals

    Biological sensing:biomarkers in saliva or blood

    WHAT?

    Electronics devices: [Cojocaru 11]

    Electrodes for electrochemistry

    Electromechanical devices: [Lebental 11]

    Optical devices and spectroscopy

    HOW?

    Wet-processed networks of: • MWNT in dichlorobenzene or cellulose

    • Suspended, aligned SWNT• Carbon/clay/MWNT nanoparticles

    Grown materials • Low density SWNT network [Lebental 14b]

    • Interfacial graphene on glass [Lee 12]• Textured carbon [Loisel 16]

    MATERIALS?

  • A case study: carbon nanotube sensors

    9

    Typical architecture: Inkjet printed, random network of multi-walled carbon nanotubes on polymer

    Fabrication reproducibility Raverage = 156 kΩ Variability= 15%

    9

  • A multifunctional carbon nanotube sensor

    10What about reproducibility in sensitivity?

    Strain

    Strain (µε)

    dR/R

    (%) pH

    pH

    Resis

    tanc

    e(k

    Ω) Humidity

    dR/R

    (%)

    Relative humidity (%)Temperature

    dR/R

    (%)

    Temperature (°C)

  • 11

    LOWEST REPORTED VARIABILITY ON SENSITIVITY [MICHELIS 2015] 15% ON GAUGE FACTOR, 8% ON TEMPERATURE

    Highly reproducible sensing performances

    MARGINAL topic in the SOTA (10% of papers) with INCOMPLETE results (no statistics)

    4 devicesfrom the

    same batch

    7 devicesfrom the

    same batch

    Does it meet requirements for deployments?

  • From a nanosensor to a connected device

    12

    How to plug a nanosensor into the Internet of Things? A series of building

    blocks to implement

    Specificity of nanosensors? The analog front-end

    (conditioning electronics)

    (MULTIPLEXED) NANOSENSORS

  • 13

    Autonomous node with RFID communication through mortar43 cm3 LARGE, 1.5cm THICK 3 times smaller than SOTA

    Embedded monitoring in construction materials

    November 2014

    Two years of continuous embedding into Sense-City!

    Live data from Sense-City

    (Cloud-based)supervisor

    Output voltage CNT sensor #9

    Output voltages CNT sensors

    #2,3,4

    October 2016

  • 14

    Resilience of carbon nanotube vs commercial sensors?

    Commercial strain gauge CNT strain gauge

    Enhanced resilience in concrete of CNT sensors compared to

    commercialCommercial: 10% 6-month survival rate

    CNT: 70% 6-month survival rate

  • From enhanced resilience to reliability

    15

    Device Model for understanding

    Reversible small strain cycling

    Irreversible large strain cycling

    Next stage: nanoscale understanding and life time prediction

    Irreversible large strain cycling

  • Accelerated ageing for textured carbon

    16

    Pristine material

    Nanosecond laser annealing of textured carbon [Loisel2016a]

    INTERPRETATION?

  • Accelerated ageing for textured carbon

    17

    Crystallinity changes observed via Raman spectroscopy

    Partially reversible phase changes

    INTERPRETATION?

    First report on laser-induced amorphization of carbon

    Toward optically-controlled non volatile memory

  • Accelerated ageing for textured carbon

    18

    , , = . ∇ = , , + , , ∇ 0, , = , on S1 (heat source) , , = 298 2 3 (boundary conditions, see Erreur ! Source du renvoi From observation to understanding, via finite element modelling (used as a thermometer)

    Crystalline changes: With increasing energy, evolution from heterogeneous to homogeneous solidification of the carbon melt.

    Surface changes: With increasing energy, the maximum surface temperature changes, causing partial or total melt, sputtering or even explosive boiling

  • PLATINE: a platform for nanoreliability

    19

    Dedicated test bench for in-situ multiphysicscharacterizations under coupled loadings

    Identification of ageing hot spots to be analyzed with high res tools

  • Summary of contributions

    20

    Record in REPRODUCIBILITY

    achieved for carbon nanotube sensors

    Development of a NANORELIABILITY toolbox for device understanding and lifetime prediction

    SENSE-CITY developed as a set of

    tools to enhance urban sustainability

    via smartness

    Promotion of the TRL increase of

    Nanocarbon sensors via deployments

    Nanosensors are only a few years away

    from actual sustainable cities

    applications

  • Road monitoring: SmartR mat

    21

  • Water network monitoring

    22

    Water quality monitoring with heterointegratedCNT-MEMS-CMOS

  • Many thanks to my colleagues and students

    23

    F. Michelis, L. Loisel, E. Milana, W. Moujahid, A. Gutierrez, S. Ramachandran, M. Godumalla, F.Zaki, O. Antoine, A. Themeli, P. PerrinJ.-M. Caussignac, F. Bourquin, H. Jacquot Guimbal, F. Derkx, H. Van Damme, E. Merliot, P. Bruley,,J. Waeytens, A. Ruas, P. Chatellier, N. Hautière, R. Chakir, F. Bouanis, V. Le Cam, J. Dumoulin, J.L.Sorin, S. Marceau, D. Siegert, S. Buttigieg, G. Six, J. L. Bachelier, M. Fremont, S. Somma, E. Bacchi,D. Fernier, J. Renaud, E. Vidal

    Y. Zang, B. Caduc, E. Norman, C. S. Lee, H. Woo,Y. Bonnassieux, J.C. Vanel, D. Tondelier, C.S. Cojocaru, E. Caristan, G. Rose,, G. Zucchi, A. Yassar, B.Drévillon, P. Roca, I. Florea, M. Chatelet, J. E. Bourré, J. L. Maurice, L. Corbel, G. Medina, D.Marcillac, J. Charliac, E. Paillassa, J. L . Moncel

    L. PavicL. Bodelot, B. Gusarov, A. Constantinescu, P. Le Tallec

    J.M. Laheurte, T. Bourouina, H. Rivano, B. Mercier, F. Marty, J. L. Polleux

    N. Sridi, A. Maurice, C. VilletteA. Ghis, O. Coussy, A. Pilar, E. Ruiz, B. K. Tay

    THANK YOU FOR YOUR

    ATTENTION