Editorial: Machine Learning and Data Mining in Materials Science

Research output: Journal contributionsOther (editorial matter etc.)Research

Authors

Original languageEnglish
Article number51
JournalFrontiers in Materials
Volume7
Number of pages3
ISSN2296-8016
DOIs
Publication statusPublished - 28.02.2020

    Research areas

  • data mining, machine learning, machining of data, materials design, materials processing, scale bridging
  • Engineering

Documents

DOI

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Researchers

  1. Neele Puhlmann

Publications

  1. Effects of diversity versus segregation on automatic approach and avoidance behavior towards own and other ethnic groups
  2. Between Recognition and Abstraction
  3. Using data mining techniques to investigate the correlation between surface cracks and flange lengths in deep drawn sheet metals
  4. Species constancy depends on plot size - A problem for vegetation classification and how it can be solved
  5. Machine Learning and Knowledge Discovery in Databases
  6. The Relation of Children's Performances in Spatial Tasks at Two Different Scales of Space
  7. Modelling, explaining, enacting and getting feedback: How can the acquisition of core practices in teacher education be optimally fostered?
  8. archiDART: an R package for the automated computation of plant root architectural traits
  9. A Lyapunov Approach to Set the Parameters of a PI-Controller to Minimise Velocity Oscillations in a Permanent Magnet Synchronous Motor Using Chopper Control for Electrical Vehicles
  10. Trait-based approaches to analyze links between the drivers of change and ecosystem services
  11. Binary Random Nets II
  12. Understanding Context Collapse for Social Media Users
  13. Challenging the status quo of accelerator research: Concluding remarks
  14. Shepherds’ local knowledge and scientific data on the scavenging ecosystem service
  15. Concepts, Formats, and Methods of Participation
  16. Thanking and responding to thanks in American English: Language patterning and contextual appropriateness
  17. Root-root interactions: extending our perspective to be more inclusive of the range of theories in ecology and agriculture using in-vivo analyses
  18. Deriving inferential statistics from recurrence plots
  19. An error management perspective on audit quality