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  5. Accelerated data-driven materials science with the Materials Project

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Article
en
2025

Accelerated data-driven materials science with the Materials Project

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0 Files

en
2025
Vol 24 (10)
Vol. 24
DOI: 10.1038/s41563-025-02272-0

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Gerbrand Ceder
Gerbrand Ceder

University of California, Berkeley

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Matthew K. Horton
Patrick Huck
Ruoxi Yang
+30 more

Abstract

The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and collaborative in nature. Next, we present cases where the Materials Project was used to understand and discover functional materials. We then describe our efforts to meet the needs of an expanding user base, through technical infrastructure updates ranging from data architecture and cloud resources to interactive web applications. Finally, we discuss opportunities to better aid the research community, with the vision that more accessible and easy-to-understand materials data will result in democratized materials knowledge and an increasingly collaborative community.

How to cite this publication

Matthew K. Horton, Patrick Huck, Ruoxi Yang, Jason M. Munro, Shyam Dwaraknath, Alex M. Ganose, Ryan Kingsbury, Mingjian Wen, Jianxin Shen, Tyler S. Mathis, Aaron D. Kaplan, Karlo Berket, Janosh Riebesell, Janine George, Andrew Rosen, Evan Walter Clark Spotte‐Smith, Matthew J. McDermott, Orion A. Cohen, Alexander Dunn, Matthew C. Kuner, Gian‐Marco Rignanese, Guido Petretto, David Waroquiers, Sinéad M. Griffin, Jeffrey B. Neaton, D. C. Chrzan, Mark Asta, Geoffroy Hautier, Shreyas Cholia, Gerbrand Ceder, Shyue Ping Ong, Anubhav Jain, Kristin A. Persson (2025). Accelerated data-driven materials science with the Materials Project. , 24(10), DOI: https://doi.org/10.1038/s41563-025-02272-0.

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Publication Details

Type

Article

Year

2025

Authors

33

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41563-025-02272-0

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