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Can artificial intelligence create the next wonder material?

scientific article published in Nature

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title

Can artificial intelligence create the next wonder material? (English)

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main subject

artificial intelligence

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1

Nicola Nosengo

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language of work or name

English

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publication date

4 May 2016

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published in

Nature

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volume

533

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issue

7601

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page(s)

22-25

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exact match

https://scigraph.springernature.com/pub.10.1038/533022a

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Machine-learning-assisted materials discovery using failed experiments

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7 January 2021

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Phospho-olivines as Positive-Electrode Materials for Rechargeable Lithium Batteries

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7 January 2021

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Predicting crystal structures with data mining of quantum calculations.

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7 January 2021

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Computational high-throughput screening of electrocatalytic materials for hydrogen evolution

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7 January 2021

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QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials

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New Light-Harvesting Materials Using Accurate and Efficient Bandgap Calculations

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7 January 2021

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AiiDA: automated interactive infrastructure and database for computational science

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7 January 2021

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In silico screening of carbon-capture materials

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https://api.crossref.org/works/10.1038%2F533022A

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7 January 2021

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The materials genome in action: identifying the performance limits for methane storage

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7 January 2021

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Identifiers

DOI

10.1038/533022A

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DBLP publication ID

journals/nature/Nosengo16

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DBLP Dataset 2021-01-02

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28 January 2021

Dimensions Publication ID

1022122032

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(Q59067310)

Can artificial intelligence create the next wonder material?

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