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Related Experiment Video

Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials
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Computational metrology for materials.

James Warren1, Jake Read2, Jonathan Seppala1

  • 1National Institute of Standards and Technology, Gaithersburg, USA.

Journal of Materials Research
|August 25, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Open-source principles enable computational metrology in materials science, linking measurements with reproducible computational descriptions. This approach extends to measuring predictive models, demonstrated by a 3D printer for rheological characterization.

Keywords:
3D printingAdditive manufacturingExtrusionMachine learningMaterials genome

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Area of Science:

  • Materials Science
  • Open Science
  • Computational Science

Background:

  • Advanced materials development faces hurdles in characterization, modeling, and production.
  • Proprietary tools and segregated processes hinder open scientific advancement.
  • Reproducibility in materials science is challenged by closed methodologies.

Purpose of the Study:

  • To introduce computational metrology by integrating open-source principles into materials science instrumentation.
  • To demonstrate how open instrumentation can provide complete computational descriptions for measurement reproducibility.
  • To extend this approach for measuring predictive computational models, not just parameters.

Main Methods:

  • Applying open-source software and hardware principles to develop novel materials science instrumentation.
  • Integrating custom instrumentation with off-the-shelf components to create versatile research tools.
  • Developing a Rheoprinter capable of rheological characterization and predictive modeling.

    • Main Results:

    • Successfully developed open instrumentation enabling reproducible measurements with full computational descriptions.
    • Demonstrated the extension of computational metrology to measure predictive computational models.
    • Created a Rheoprinter that combines 3D printing with rheological characterization capabilities.

    Conclusions:

    • Computational metrology, leveraging open-source practices, significantly enhances reproducibility and accessibility in materials science.
    • The developed open instrumentation and computational metrology framework facilitate the adoption of advanced materials.
    • The Rheoprinter serves as a practical example of integrating characterization and modeling for complex materials.