Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
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- Anubhav Jain
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
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- Shyue Ping Ong
- Massachusetts Institute of Technology 2 , Cambridge 02139, Massachusetts, USA
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- Geoffroy Hautier
- Université catholique de Louvain 3 , Louvain-la-Neuve, Belgium
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- Wei Chen
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
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- William Davidson Richards
- Massachusetts Institute of Technology 2 , Cambridge 02139, Massachusetts, USA
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- Stephen Dacek
- Massachusetts Institute of Technology 2 , Cambridge 02139, Massachusetts, USA
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- Shreyas Cholia
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
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- Dan Gunter
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
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- David Skinner
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
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- Gerbrand Ceder
- Massachusetts Institute of Technology 2 , Cambridge 02139, Massachusetts, USA
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- Kristin A. Persson
- Lawrence Berkeley National Laboratory 1 , Berkeley 94720, California, USA
書誌事項
- 公開日
- 2013-07-01
- DOI
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- 10.1063/1.4812323
- 公開者
- AIP Publishing
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説明
<jats:p>Accelerating the discovery of advanced materials is essential for human welfare and sustainable, clean energy. In this paper, we introduce the Materials Project (www.materialsproject.org), a core program of the Materials Genome Initiative that uses high-throughput computing to uncover the properties of all known inorganic materials. This open dataset can be accessed through multiple channels for both interactive exploration and data mining. The Materials Project also seeks to create open-source platforms for developing robust, sophisticated materials analyses. Future efforts will enable users to perform ‘‘rapid-prototyping’’ of new materials in silico, and provide researchers with new avenues for cost-effective, data-driven materials design.</jats:p>
収録刊行物
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- APL Materials
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APL Materials 1 (1), 011002-, 2013-07-01
AIP Publishing
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詳細情報 詳細情報について
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- CRID
- 1363670319529130752
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- ISSN
- 2166532X
- https://id.crossref.org/issn/2166532X
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- データソース種別
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- Crossref

