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Accelerated data-driven materials science with the Materials Project.

Matthew K Horton1,2, Patrick Huck1, Ruo Xi Yang1

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The Materials Project accelerates materials discovery using high-throughput computation and open data. This platform has become essential for researchers, fostering a more collaborative and accessible field of data-driven materials science.

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Area of Science:

  • Materials Science
  • Computational Science
  • Data Science

Background:

  • The Materials Project, established in 2011, aims to advance materials discovery.
  • It has evolved into a critical resource for over 600,000 global materials researchers.
  • The project leverages high-throughput computation and open data principles.

Purpose of the Study:

  • To describe the impact of the Materials Project on data-driven materials science.
  • To highlight its role as a data platform and software ecosystem.
  • To discuss its contributions to sustainable software and collaborative research.

Main Methods:

  • Utilizing high-throughput computation for materials property prediction.
  • Developing and maintaining an open-source software ecosystem.
  • Aggregating and providing open access to materials data.

Main Results:

  • Accelerated materials design through computational methods.
  • Facilitated the discovery and understanding of functional materials.
  • Supported a growing user base with infrastructure and application updates.

Conclusions:

  • The Materials Project has significantly shaped data-driven materials science.
  • Continued development aims to enhance accessibility and collaboration.
  • Democratizing materials knowledge through open data is a key vision.