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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Interplay between Side Chain Density and Polymer Alignment: Two Competing Strategies for Enhancing the Thermoelectric Performance of P3HT Analogues.citations
  • 2023Impact of the dopant location in the semi-crystalline structure of alternated donor–acceptor copolymers on the polarity switching p → n mechanism3citations
  • 2023Interplay between Side Chain Density and Polymer Alignment: Two Competing Strategies for Enhancing the Thermoelectric Performance of P3HT Analogues7citations
  • 2019OCVD measurement for extraction of minority carrier lifetime in GaSb, GaAs and silicon junctions : simulations and experimentationscitations

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Chart of shared publication
Jacobs, Ian E.
1 / 5 shared
Gilhooly-Finn, Peter A.
1 / 1 shared
Bardagot, Olivier
2 / 5 shared
Banerji, Natalie
2 / 4 shared
Neal, William
2 / 2 shared
Nielsen, Christian B.
1 / 5 shared
Palma, Matteo
2 / 3 shared
Sirringhaus, Henning
2 / 48 shared
Richard, Fanny
2 / 5 shared
Guchait, Shubhradip
3 / 5 shared
Zhang, Lu
2 / 7 shared
Freeley, Mark
2 / 2 shared
Brinkmann, Martin
3 / 29 shared
Zaffar, Yasser
2 / 2 shared
Schmaltz, Bruno
1 / 14 shared
Dyaga, Bharath
1 / 2 shared
Zeng, Huiyan
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Jacobs, Ie
1 / 3 shared
Gilhooly-Finn, Peter
1 / 1 shared
Nielsen, Christian
1 / 1 shared
Chart of publication period
2023
2019

Co-Authors (by relevance)

  • Jacobs, Ian E.
  • Gilhooly-Finn, Peter A.
  • Bardagot, Olivier
  • Banerji, Natalie
  • Neal, William
  • Nielsen, Christian B.
  • Palma, Matteo
  • Sirringhaus, Henning
  • Richard, Fanny
  • Guchait, Shubhradip
  • Zhang, Lu
  • Freeley, Mark
  • Brinkmann, Martin
  • Zaffar, Yasser
  • Schmaltz, Bruno
  • Dyaga, Bharath
  • Zeng, Huiyan
  • Jacobs, Ie
  • Gilhooly-Finn, Peter
  • Nielsen, Christian
OrganizationsLocationPeople

thesis

OCVD measurement for extraction of minority carrier lifetime in GaSb, GaAs and silicon junctions : simulations and experimentations

  • Lemaire, Antoine
Abstract

Minority carrier lifetime measurement is essential to optimize PV solar cells. The OCVD method allows it into p-n junction. Compare to other technics widely used like PCD or TRPL, it is really simple and cheap. However it has been scarcely used for III-V materials mainly due to their low lifetime (<1μs). We focus on III-V semiconductors because they are good candidates to multijunction solar cells dedicated to CPV. Nevertheless, the OCVD signal must be simulated in order to extract lifetime in these materials. Therefore, we first used TCAD simulation to study design influence (bulk thickness and emitter doping) of silicon and GaAs p-n junctions on OCVD signal. We examined lifetime extraction in a specific region: the bulk. In parallel, we characterized GaSb and GaAs diodes. Experimental I-V and OCVD curves of GaSb p-n junctions have been fitted by TCAD simulation. It allowed to highlight the blocking diode is of major importance. Its blocking time has to be shorter than measured lifetime. Finally, we developed a model under Python based on transient single-diode model. It enables first to simulate OCVD signal, then to fit experimental curve with several fitting variables (τOCVD, Nl et Rsh). This modelling allowed to study further the variable influences on the signal and thus improved our knowledge on OCVD behaviour.

Topics
  • impedance spectroscopy
  • simulation
  • extraction
  • Silicon
  • III-V semiconductor