Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2018Tuning the Molecular Weight of the Electron Accepting Polymer in All-Polymer Solar Cells69citations
  • 2018Impact of Acceptor Fluorination on the Performance of All-Polymer Solar Cells31citations
  • 2017Unconventional Molecular Weight Dependence of Charge Transport in the High Mobility n-type Semiconducting Polymer P(NDI2OD-T2)69citations

Places of action

Chart of shared publication
Gann, Eliot
3 / 22 shared
Prasad, Shyamal K. K.
2 / 6 shared
Hodgkiss, Justin M.
2 / 8 shared
Sommer, Michael
3 / 20 shared
Deshmukh, Kedar D.
2 / 3 shared
Liu, Amelia C. Y.
2 / 10 shared
Thomsen, Lars
3 / 20 shared
Mcneill, Christopher R.
1 / 15 shared
Kabra, Dinesh
1 / 8 shared
Welford, Adam
2 / 5 shared
Connal, Luke A.
1 / 1 shared
Nahid, Masrur Morshed
1 / 1 shared
Chart of publication period
2018
2017

Co-Authors (by relevance)

  • Gann, Eliot
  • Prasad, Shyamal K. K.
  • Hodgkiss, Justin M.
  • Sommer, Michael
  • Deshmukh, Kedar D.
  • Liu, Amelia C. Y.
  • Thomsen, Lars
  • Mcneill, Christopher R.
  • Kabra, Dinesh
  • Welford, Adam
  • Connal, Luke A.
  • Nahid, Masrur Morshed
OrganizationsLocationPeople

article

Impact of Acceptor Fluorination on the Performance of All-Polymer Solar Cells

  • Gann, Eliot
  • Prasad, Shyamal K. K.
  • Hodgkiss, Justin M.
  • Matsidik, Rukiya
  • Sommer, Michael
  • Deshmukh, Kedar D.
  • Liu, Amelia C. Y.
  • Kabra, Dinesh
  • Welford, Adam
  • Thomsen, Lars
  • Connal, Luke A.
Abstract

<p>Here, we systematically study the effect of fluorination on the performance of all-polymer solar cells by employing a naphthalene diimide (NDI)-based polymer acceptor with thiophene-flanked phenyl co-monomer. Fluorination of the phenyl co-monomer with either two or four fluorine units is used to create a series of acceptor polymers with either no fluorination (PNDITPhT), bifluorination (PNDITF2T), or tetrafluorination (PNDITF4T). In blends with the donor polymer PTB7-Th, fluorination results in an increase in power conversion efficiency from 3.1 to 4.6% despite a decrease in open-circuit voltage from 0.86 V (unfluorinated) to 0.78 V (tetrafluorinated). Countering this decrease in open-circuit voltage is an increase in short-circuit current from 7.7 to 11.7 mA/cm<sup>2</sup> as well as an increase in fill factor from 0.45 to 0.53. The origin of the improvement in performance with fluorination is explored using a combination of morphological, photophysical, and charge-transport studies. Interestingly, fluorination is found not to affect the ultrafast charge-generation kinetics, but instead is found to improve charge-collection yield subsequent to charge generation, linked to improved electron mobility and improved phase separation. Fluorination also leads to improved light absorption, with the blue-shifted absorption profile of the fluorinated polymers complementing the absorption profile of the low-band gap PTB7-Th.</p>

Topics
  • impedance spectroscopy
  • polymer
  • phase
  • mobility
  • power conversion efficiency