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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Roslyakova, Irina

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 20233D phase-field simulations to machine-learn 3D information from 2D micrographs7citations
  • 2022Microstructure property classification of nickel-based superalloys using deep learning3citations
  • 2022Including state-of-the-art physical understanding of thermal vacancies in Calphad models2citations
  • 2019MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations9citations

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Jiang, Yuxun
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Eggeler, Gunther
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Bürger, David
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Ali, Muhammad Adil
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Steinbach, Ingo
2 / 48 shared
Obaied, Abdulmonem
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Nwachukwu, Uchechukwu
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Horst, Oliver Martin
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Obaied, A.
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Baben, M. To
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Müller, Alexander
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Markl, Matthias
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Singer, Robert F.
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Git, Paul
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Co-Authors (by relevance)

  • Jiang, Yuxun
  • Eggeler, Gunther
  • Bürger, David
  • Ali, Muhammad Adil
  • Steinbach, Ingo
  • Obaied, Abdulmonem
  • Nwachukwu, Uchechukwu
  • Horst, Oliver Martin
  • Obaied, A.
  • Baben, M. To
  • Müller, Alexander
  • Markl, Matthias
  • Singer, Robert F.
  • Sprenger, Mario
  • Rettig, Ralf
  • Git, Paul
  • Körner, Carolin
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article

MultOpt++: a fast regression-based model for the development of compositions with high robustness against scatter of element concentrations

  • Roslyakova, Irina
  • Müller, Alexander
  • Markl, Matthias
  • Singer, Robert F.
  • Sprenger, Mario
  • Rettig, Ralf
  • Git, Paul
  • Körner, Carolin
Abstract

lloys-by-design is a term used to describe new alloy development techniques based on numerical simulation. These approaches are extensively used for nickel-base superalloys to increase the chance of success in alloy development. During alloy production of numerically optimized compositions, unavoidable scattering of the element concentrations occurs. In the present paper, we investigate the effect of this scatter on the alloy properties. In particular, we describe routes to identify alloy compositions by numerical simulations that are more robust than other compositions. In our previously developed alloy development program package MultOpt, we introduced a sensitivity parameter that represents the influence of alloying variations on the final alloy properties in the post-optimization process, because the established sensitivity calculations require high computational effort. In this work, we derive a regression-based model for calculating the sensitivity that only requires one-time calculation of the regression coefficients. The model can be applied to any function with nearly linear behavior within the uncertainty range. The model is then successfully applied to the computational alloys-by-design work flow to facilitate alloy selection using the sensitivity of a composition owing to the inaccuracies in the manufacturing process as an additional minimization goal.

Topics
  • impedance spectroscopy
  • nickel
  • simulation
  • superalloy
  • alloy composition