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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Tyndall National Institute

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Machine learning for accelerated bandgap prediction in strain-engineered quaternary III-V semiconductors3citations
  • 2023Accurate first-principle bandgap predictions in strain-engineered ternary III-V semiconductors4citations
  • 2022Systematic strain-induced bandgap tuning in binary III-V semiconductors from density functional theory8citations

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Chart of shared publication
Tonner-Zech, Ralf
3 / 4 shared
Westermayr, Julia
1 / 1 shared
Volz, Kerstin
1 / 14 shared
Hepp, Thilo
1 / 1 shared
Kröner, Marcel
1 / 1 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Tonner-Zech, Ralf
  • Westermayr, Julia
  • Volz, Kerstin
  • Hepp, Thilo
  • Kröner, Marcel
OrganizationsLocationPeople

document

Accurate first-principle bandgap predictions in strain-engineered ternary III-V semiconductors

  • Tonner-Zech, Ralf
  • Volz, Kerstin
  • Mondal, Badal
  • Hepp, Thilo
  • Kröner, Marcel
Abstract

Tuning the bandgap in ternary III-V semiconductors via modification of the composition or the strain in the material is a major approach for the design of optoelectronic materials. Experimental approaches screening a large range of possible target structures are hampered by the tremendous effort to optimize the material synthesis for every target structure. We present an approach based on density functional theory efficiently capable of providing the bandgap as a function of composition and strain. Using a specific density functional designed for accurate bandgap computation (TB09) together with a band unfolding procedure and special quasirandom structures, we develop a computational protocol efficiently able to predict bandgaps. The approach's accuracy is validated by comparison to selected experimental data. We thus map the phase space of composition and strain (we call this the 'bandgap phase diagram') for several important III-V compound semiconductors: GaAsP, GaAsN, GaPSb, GaAsSb, GaPBi, and GaAsBi. We show the application of these diagrams for identifying the most promising materials for device design. Furthermore, our computational protocol can easily be generalized to explore the vast chemical space of III-V materials with all other possible combinations of III- and V-elements.

Topics
  • density
  • impedance spectroscopy
  • compound
  • phase
  • theory
  • density functional theory
  • phase diagram
  • III-V semiconductor