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EXTended Model of Organic Semiconductors

Project information

Grant agreement ID: 646176

  • Start date

    1 July 2015

  • End date

    30 June 2019

Funded under:

H2020-EU.2.1.3.1.

  • Overall budget:

    € 4 998 000

  • EU contribution

    € 4 998 000

Coordinated by:

UNIVERSITY OF BATH

United Kingdom

Objective

EXTMOS’ main objective is to create a materials model and the related user friendly code that will focus on charge transport in doped organic semiconductors. Its aims are
(i) to reduce the time to market of
(a) multilayer organic light emitting devices, OLEDs, with predictable efficiencies and long lifetimes
(b) organic thin film transistors and circuits with fast operation.
(ii) to reduce production costs of organic devices by enabling a fully solution processed technology.
Development costs and times will be lowered by identifying dopants that provide good device performance, reducing the number of dopant molecules that need to be synthesized and the materials required for trial devices.
(iii) to reduce design costs at circuit level through an integrated model linking molecular design to circuit operation.
Screening imposes the following requirements from the model
1. An improved understanding of dopant/host interactions at the molecular level. Doping efficiencies need to be increased to give better conducting materials. For OLEDs, dopants should not absorb visible light that lowers output nor ultraviolet light that can cause degradation.
2. An ability to interpret experimental measurements used to identify the best dopants.
3. The possibility of designing dopants that are cheap and (photo)chemically robust and whose synthesis results in fewer unwanted impurities, and that are less prone to clustering.
The EXTMOS model is at the discrete mesoscopic level with embedded microscopic electronic structure and molecular packing calculations. Modules at the continuum and circuit levels are an integral part of the model. It will be validated by measurements on single and multiple layer devices and circuits and exploited by 2 industrial end users and 2 software vendors.
US input is provided by an advisory council of 3 groups whose expertise complements that of the partners.

Coordinator

UNIVERSITY OF BATH

Address

Claverton Down
Ba2 7ay Bath

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 723 000

Participants (12)

UNIVERSITE DE MONS

Belgium

EU Contribution

€ 371 250

ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA

Italy

EU Contribution

€ 381 250

INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM

Belgium

EU Contribution

€ 484 375

KARLSRUHER INSTITUT FUER TECHNOLOGIE

Germany

EU Contribution

€ 371 250

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 371 250

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 371 250

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU Contribution

€ 381 250

NOVALED GMBH

Germany

EU Contribution

€ 562 500

NANOMATCH GMBH

Germany

EU Contribution

€ 172 500

SILVACO EUROPE LTD

United Kingdom

EU Contribution

€ 371 250

CAMBRIDGE DISPLAY TECHNOLOGY LTD

United Kingdom

FLEXENABLE LIMITED

United Kingdom

EU Contribution

€ 436 875

Project information

Grant agreement ID: 646176

  • Start date

    1 July 2015

  • End date

    30 June 2019

Funded under:

H2020-EU.2.1.3.1.

  • Overall budget:

    € 4 998 000

  • EU contribution

    € 4 998 000

Coordinated by:

UNIVERSITY OF BATH

United Kingdom