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 (2/2 displayed)

  • 2021Quantifying physical parameters to predict brittle/ ductile behavior3citations
  • 2019High-Throughput Nanomechanical Screening of Phase-Specific and Temperature-Dependent Hardness in AlxFeCrNiMn High-Entropy Alloys28citations

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Chart of shared publication
Schmalbach, Kevin
1 / 3 shared
Gerberich, William W.
1 / 4 shared
Mara, Nathan A.
2 / 8 shared
Chen, Youxing
2 / 2 shared
Becker, Bernard R.
1 / 1 shared
Li, Nan
1 / 11 shared
Weaver, Jordan
1 / 2 shared
Nowakowski, Bartosz
1 / 1 shared
Stauffer, Douglas
1 / 3 shared
Chart of publication period
2021
2019

Co-Authors (by relevance)

  • Schmalbach, Kevin
  • Gerberich, William W.
  • Mara, Nathan A.
  • Chen, Youxing
  • Becker, Bernard R.
  • Li, Nan
  • Weaver, Jordan
  • Nowakowski, Bartosz
  • Stauffer, Douglas
OrganizationsLocationPeople

article

Quantifying physical parameters to predict brittle/ ductile behavior

  • Schmalbach, Kevin
  • Hintsala, Eric
  • Gerberich, William W.
  • Mara, Nathan A.
  • Chen, Youxing
Abstract

<p>The brittle to ductile transition (BDT) is difficult to predict without extensive fitting parameters or tuning to a particular material. Currently, predicting fracture through extensive fitting or computationally expensive algorithms is high in both cost and time required to capture the relevant deformation physics. Presented here is analysis using a comparatively high throughput analytical model to predict fracture behavior using relatively few key experimentally determined parameters: activation volume, shear stress, and activation energy. This approach could reduce the time scale to predict fracture and thus accelerate new materials discovery. The current work utilizes seminal studies to provide the inputs for validating our approach via two single crystal materials, Si and W, which both have marginal toughness at low temperatures. It is shown that knowledge of underlying deformation mechanisms (still in progress) coupled to rapid determination of physical quantities (shear stress, activation volumes, and dislocation shielding) promotes unique discovery and opportunities, including future application to polycrystalline materials and phenomena. The technique, using literature values for physical parameters, correlates well to experimental fracture behavior for these two different classes of materials, semiconductors and metals, offering new opportunities for broader study.</p>

Topics
  • impedance spectroscopy
  • single crystal
  • semiconductor
  • dislocation
  • activation
  • deformation mechanism
  • fracture behavior