logo

Multiscale modelling and characterization to optimize the manufacturing processes of Organic Electronics materials and devices

Sector: Manufacturing (Industrial) • Location: Greece, United Kingdom, France, Switzerland, Germany, Italy

Source: EU Funding & Tenders Portal

Project
Ended

CORNET is an ambitious project that develop a unique EU Open Innovation Environment (OIE), that cover the triangle of manufacturing, modelling and experimentation for the optimization the Organic/Large Area Electronic (OE) nanomaterials, materials behavior and nano-devices (OPVs, PPVs, OLEDs) manufacturing of R2R printing & gas transport (OVPD) processes, to validate materials models based on expe

Project Information FAQ

Project Information

4 Q
The project “Multiscale modelling and characterization to optimize the manufacturing processes of Organic Electronics materials and devices” is an infrastructure initiative in the Manufacturing (Industrial) sector, located in Greece, United Kingdom, France, Switzerland, Germany, Italy. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

CORNET is an ambitious project that develop a unique EU Open Innovation Environment (OIE), that cover the triangle of manufacturing, modelling and experimentation for the optimization the Organic/Large Area Electronic (OE) nanomaterials, materials behavior and nano-devices (OPVs, PPVs, OLEDs) manufacturing of R2R printing & gas transport (OVPD) processes, to validate materials models based on experimentation and fabricate tailored OE devices and systems for demonstration to industrial applications (e.g. automotive, greenhouses). CORNET will develop a sustainable OIE Platform and OIE Database for documentation of citable & industrially accepted protocols for OE material and device characterization, modelling and manufacturing. CORNET strategy will establish strong links and clustering with existing EU clusters (as EMMC, EMCC, EPPN), end-user & industrial associations, and EU networks to increase the speed of OE materials/device development and industry uptake, maximize the acceptance of the OIE and push-through standards for adoption by industry worldwide. The CORNET main objectives are to: 1. Develop an effective OIE with world-class experts in Manufacturing, Multiscale Characterization & Modelling, connected to EU clusters, and create a reliable database with citable protocols with contribution to Standards 2. Multiscale Characterization & Modelling to Optimize OE nanomaterials and devices fabrication and Models Validation 3. Optimize the nano-device Manufacturing of OPVs, PPVs, OLEDs by Printing (R2R, S2S) and OVPD Processes 4. Fabricate Tailored Devices, Systems and Demonstrate to industrial applications (e.g. automotive, greenhouses) CORNET has developed a strategic plan for the clustering activities with more than 800 existing related bodies, a Business Plan for the continuation of the OIE beyond the project and the Innovation Management, IPR and legal support services to protect generated foreground and to enable its adoption by the EU research & industrial communities.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data