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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Doumit, Nicole

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023The Effect of Transient Power Ramp‐Up on Structural and Optical Properties of CuO Thin Films Prepared by Radio Frequency Magnetron Sputteringcitations
  • 2020Effect of the Dielectric and Mechanical Properties of the Polymer Matrix on ZnO‐Nanowire‐Based Composite Nanogenerators Performance6citations
  • 2020Effect of the Dielectric and Mechanical Properties of the Polymer Matrix on ZnO-Nanowire-Based Composite Nanogenerators Performance6citations
  • 2018A New Simulation Approach for Performance Prediction of Vertically Integrated Nanogenerators11citations
  • 2018A New Simulation Approach for Performance Prediction of Vertically Integrated Nanogenerators11citations

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Kumachang, Cyril C. F.
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Amune, Daniel I.
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Olanrewaju, Yusuf A.
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Asuo, Ivy M.
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Sanni, Dahiru
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Ntsoenzok, Esidor
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Koech, Richard
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Anye, Vitalis
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Poulinvittrant, Guylaine
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Poulin-Vittrant, Guylaine
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Co-Authors (by relevance)

  • Kumachang, Cyril C. F.
  • Amune, Daniel I.
  • Olanrewaju, Yusuf A.
  • Asuo, Ivy M.
  • Sanni, Dahiru
  • Ntsoenzok, Esidor
  • Koech, Richard
  • Anye, Vitalis
  • Poulinvittrant, Guylaine
  • Poulin-Vittrant, Guylaine
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article

A New Simulation Approach for Performance Prediction of Vertically Integrated Nanogenerators

  • Poulinvittrant, Guylaine
  • Doumit, Nicole
Abstract

<jats:title>Abstract</jats:title><jats:p>The vertically integrated nanogenerator (VING) is one of the most used designs in mechanical energy harvesting using piezoelectric nanowires, due to its easiest manufacturing process. Here, a new modeling approach is presented in order to reduce the computation time of a whole VING finite element simulation. In this work, the effect of the polymer layer (Parylene C), in which nanowires are immersed, on the electromechanical behavior of the whole VING is taken into account. The active part of the VING (nanowires–polymer composite) is considered as a 1–3 piezocomposite. It is formed with ZnO piezoelectric nanowires; however, this study can be applied to any type of piezoelectric nanowires (PZT, GaN, PVDF, etc.) and matrix materials (PDMS, PMMA, Al<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub>, etc.). The present method relies on the finite element method applied to a single nanowire‐composite cell in open‐circuit condition, combined with an analytical modeling of the full VING. This approach allows the computation time to be drastically reduced without inducing significant approximation errors. The expected maximum power, internal capacitance, and optimum resistance can be deduced thanks to this efficient modeling tool, offering wide perspectives for the optimization of such VING devices.</jats:p>

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • composite