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

Projektinformationen

MolDesign

ID Finanzhilfevereinbarung: 795206

DOI 10.3030/795206

Projekt abgeschlossen

EK-Unterschriftsdatum 28 März 2018

Startdatum 1 April 2018

Enddatum 1 Januar 2022

Finanziert unter

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Gesamtkosten € 208 963,50

EU-Beitrag € 208 963,50

Koordiniert durch

KARLSRUHER INSTITUT FUER TECHNOLOGIE
Germany

Ziel

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.

Wissenschaftliches Gebiet

• natural sciences › computer and information sciences › databases
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors
• natural sciences › physical sciences › electromagnetism and electronics › semiconductivity
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• engineering and technology › environmental engineering › energy and fuels › renewable energy › solar energy › photovoltaic

Programm/Programme

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Thema/Themen

• MSCA-IF-2017 - Individual Fellowships

Aufforderung zur Vorschlagseinreichung

H2020-MSCA-IF-2017

Finanzierungsplan

MSCA-IF-GF - Global Fellowships

Koordinator

KARLSRUHER INSTITUT FUER TECHNOLOGIE

• Netto-EU-Beitrag: € 208 963,50
• Adresse: KAISERSTRASSE 12 ; 76131 Karlsruhe ; Deutschland
• Region: Baden-Württemberg › Karlsruhe › Karlsruhe, Stadtkreis
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 208 963,50

Partner (2)

Partner

Partnerorganisationen tragen zur Umsetzung der Aktion bei, unterzeichnen jedoch nicht die Finanzhilfevereinbarung.

PRESIDENT AND FELLOWS OF HARVARD COLLEGE

Beteiligung beendet

Vereinigte Staaten

• Netto-EU-Beitrag: € 0,00
• Adresse: MASSACHUSETTS AVENUE 1350 ; 02138 Cambridge
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 20 016,30

Partner

Partnerorganisationen tragen zur Umsetzung der Aktion bei, unterzeichnen jedoch nicht die Finanzhilfevereinbarung.

THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

Kanada

• Netto-EU-Beitrag: € 0,00
• Adresse: KINGS COLLEGE CIRCLE 27 ; M5S 1A1 Toronto
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 109 216,80