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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (17/17 displayed)

  • 2022On chain models for contact electrification3citations
  • 2021Piezoelectric tunability and topological insulator transition in a GaN/InN/GaN quantum-well device1citations
  • 2020Strain-engineered widely tunable perfect absorption angle in black phosphorus from first principles30citations
  • 2017Acousto-optical phonon excitation in cubic piezoelectric slabs and crystal growth orientation effects6citations
  • 2017Acousto-optical phonon excitation in cubic piezoelectric slabs and crystal growth orientation effects6citations
  • 2017Pseudocanalization regime for magnetic dark-field hyperlenses5citations
  • 2015Tunable Broadband Acoustic Gain in Piezoelectric Semiconductors at ε-Near-Zero Response4citations
  • 2013Metadevices for the confinement of sound and broadband double-negativity behavior:Physical Review B21citations
  • 2013Metadevices for the confinement of sound and broadband double-negativity behavior21citations
  • 2013An electromechanical model for a dielectric electroactive polymer generator2citations
  • 2013An Electromechanical Model of a Dielectric ElectroActive Polymer Generator2citations
  • 2013An Electromechanical Model of a Dielectric ElectroActive Polymer Generator2citations
  • 2012Multilayer piezoelectric transducer models combined with Field II1citations
  • 2010Analysis of optical properties of strained semiconductor quantum dots for electromagnetically induced transparencycitations
  • 2010Analysis of optical properties of strained semiconductor quantum dots for electromagnetically induced transparencycitations
  • 2010Investigations of scattering and field enhancement effects in retardation-based plasmonic nanoantennascitations
  • 2009Parameter sensitivity study of a Field II multilayer transducer model on a convex transducer1citations

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Chart of shared publication
Lew Yan Voon, Lok C.
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Hasbun, Javier E.
1 / 1 shared
Pecchia, Alessandro
1 / 7 shared
Wang, Zhong Lin
1 / 2 shared
Barettin, Daniele
1 / 6 shared
Maur, Matthias Auf Der
1 / 2 shared
Zhang, Yan
1 / 18 shared
Alidoust, Mohammad
1 / 7 shared
Pan, Douxing
1 / 1 shared
Akola, Jaakko
1 / 21 shared
Halterman, Klaus
1 / 4 shared
Duggen, Lars
1 / 2 shared
Repan, Taavi
1 / 1 shared
Lavrinenko, Andrei V.
1 / 98 shared
Novitsky, Andrey
1 / 13 shared
Christensen, Johan
2 / 3 shared
Christensen, J.
1 / 1 shared
Liang, Z.
2 / 10 shared
Dimopoulos, Emmanouil
2 / 5 shared
Munk-Nielsen, Stig
3 / 20 shared
Trintis, Ionut
3 / 5 shared
Rechenbach, Björn
3 / 3 shared
Lassen, Benny
3 / 7 shared
Bæk, David
2 / 2 shared
Jensen, Jørgen Arendt
2 / 26 shared
Nielsen, Torben Roland
2 / 2 shared
Barettin, D.
2 / 4 shared
Houmark-Nielsen, Jakob
2 / 2 shared
Lassen, B.
2 / 2 shared
Jauho, Antti-Pekka
2 / 16 shared
Moerk, Jesper
1 / 20 shared
Mørk, Jesper
1 / 17 shared
Bozhevolnyi, Sergey I.
1 / 35 shared
Nielsen, Rasmus Bundgaard
1 / 2 shared
Albrektsen, Ole
1 / 5 shared
Pors, Anders
1 / 4 shared
Nielsen, Michael Grøndahl
1 / 2 shared
Boltasseva, Alexandra
1 / 23 shared
Chart of publication period
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2020
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Co-Authors (by relevance)

  • Lew Yan Voon, Lok C.
  • Hasbun, Javier E.
  • Pecchia, Alessandro
  • Wang, Zhong Lin
  • Barettin, Daniele
  • Maur, Matthias Auf Der
  • Zhang, Yan
  • Alidoust, Mohammad
  • Pan, Douxing
  • Akola, Jaakko
  • Halterman, Klaus
  • Duggen, Lars
  • Repan, Taavi
  • Lavrinenko, Andrei V.
  • Novitsky, Andrey
  • Christensen, Johan
  • Christensen, J.
  • Liang, Z.
  • Dimopoulos, Emmanouil
  • Munk-Nielsen, Stig
  • Trintis, Ionut
  • Rechenbach, Björn
  • Lassen, Benny
  • Bæk, David
  • Jensen, Jørgen Arendt
  • Nielsen, Torben Roland
  • Barettin, D.
  • Houmark-Nielsen, Jakob
  • Lassen, B.
  • Jauho, Antti-Pekka
  • Moerk, Jesper
  • Mørk, Jesper
  • Bozhevolnyi, Sergey I.
  • Nielsen, Rasmus Bundgaard
  • Albrektsen, Ole
  • Pors, Anders
  • Nielsen, Michael Grøndahl
  • Boltasseva, Alexandra
OrganizationsLocationPeople

document

Parameter sensitivity study of a Field II multilayer transducer model on a convex transducer

  • Willatzen, Morten
  • Bæk, David
  • Jensen, Jørgen Arendt
Abstract

A multilayer transducer model for predicting a transducer impulse response has in earlier works been developed and combined with the Field II software. This development was tested on current, voltage, and intensity measurements on piezoceramics discs (Bæk et al. IUS 2008) and a convex 128 element ultrasound imaging transducer (Bæk et al. ICU 2009). The model benefits from its 1D simplicity and hasshown to give an amplitude error around 1.7‐2 dB. However, any prediction of amplitude, phase, and attenuation of pulses relies on the accuracy of manufacturer supplied material characteristics, which may be inaccurate estimates. The previous test cases have assumed the simulation parameters to be exact as received from the manufacturer. In this paper the influence of a deviation in the accuracy of the different parameters is studied by comparing simulation and measurement. The long term objective is a quantitative calibrated model for a complete ultrasound system. This includes a sensitivity study aspresented here.Statement of Contribution/MethodsThe study alters 35 different model parameters which describe a 128 element convex transducer from BK Medical Aps. The changes are within ±20 % of the values supplied by the manufacturer, which are considered the zero reference (ZR). Simulations of a system consisting of a transmit unit, a five material layer transducer, and the FIELD II predicted pressure are performed by altering in turn the value of a single parameter in steps of 2 %. The remaining simulation parameters are held fixed at the ZR. The influence of the parameter change is determined by calculating the pressure and the intensity at adistance of 112 mm on an element’s center axis and comparing it with hydrophone measurements. These are performed with a water bath hydrophone setup using an Agilent MSO6014A oscilloscope that is set to average consecutive pulses 48 times for noise reduction of the hydrophone output. A commercial transmitter unit is used to drive the transducer with a 10 cycle tone burst at a frequency of 4.0 MHz and a maximum excitation amplitude of 31 volt.ResultsPredictions using the ZR give a pressure pulse error (PPE) and an intensity error (IE) of 32 % and 23 %, respectively, relative to the measured. Altering the piezoelectric permittivity +12 % from ZR decreases the PPE to 30 % and the IE to 2 % relative to the measured. Changing the stiffness constant of the lens -4 % from ZR increases the PPE and the IE with 6 % and 1 %, respectively. Performing the same with the ceramic stiffness the PPE is lowered 1.5 % and the IE is lowered 12 %.Discussion and ConclusionsPPEs are found mainly to be sensitive to lens properties and piezoceramic properties, but minor sensitive to changes in matching layers. IEs are mainly sensitive to the piezoceramic properties. The study shows that minor changes can improve predictions significantly.

Topics
  • impedance spectroscopy
  • phase
  • simulation
  • ceramic
  • appearance potential spectroscopy
  • infrared emission spectroscopy