Opendata, web and dolomites

MolDesign SIGNED

Molecule design for next generation solar cells using machine learning approaches trained on large scale screening databases

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "MolDesign" data sheet

The following table provides information about the project.

Coordinator
KARLSRUHER INSTITUT FUER TECHNOLOGIE 

Organization address
address: KAISERSTRASSE 12
city: KARLSRUHE
postcode: 76131
website: www.kit.edu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 208˙963 €
 EC max contribution 208˙963 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-GF
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2022-01-01

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KARLSRUHER INSTITUT FUER TECHNOLOGIE DE (KARLSRUHE) coordinator 208˙963.00
2    PRESIDENT AND FELLOWS OF HARVARD COLLEGE US (CAMBRIDGE) partner 0.00
3    THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO CA (TORONTO) partner 0.00

Map

 Project objective

Research in organic electronics has already generated important applications, such organic light emitting diodes (OLEDs) in mobile displays that are already indispensable in our everyday life. Other applications, such as large scale displays and lighting, lightweight and flexible organic photovoltaics, carbon-based electronic paper, organic sensors and RFID tags, are under intense investigation. The multifunctional character of these applications poses enormous challenges for the development of novel materials, which are hard to meet with the present day trial-and-error strategies. The MolDesign project thus aims at computational material design by combining accurate but involved materials simulation methods with inexpensive novel machine learning methods to enable large scale guided materials screening. These methods will be used to improve small-molecule organic semiconductors, which are used as absorber materials in vapor-deposited organic solar cells. While some materials of this class are almost at the photovoltaics market, there is much room for improvement regarding properties such as charge carrier mobility as well as the integration of organic material into completely new applications, such as hole transport materials in highly promising perovskite solar cells.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MOLDESIGN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "MOLDESIGN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

PLECTRA (2020)

Revealing mechanisms of plant-soil feedback in search of trait indicators

Read More  

THE CROSSMODAL BRAIN (2020)

Neural mechanisms of crossmodal activity in blind and sighted individuals

Read More  

MINT (2019)

Multifunctional Immunocompatible NanoTheranostics to modulate tumor microenvironment and improve treatment monitoring: A double blow to pancreatic cancer

Read More