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. 2020 Jan 22;7(2):1903667. doi: 10.1002/advs.201903667

Data‐Driven Materials Science: Status, Challenges, and Perspectives

Lauri Himanen, Amber Geurts, Adam Stuart Foster, Patrick Rinke
PMCID: PMC6974932  PMID: 31993299

Adv. Sci. 2019, 6, 1900808

In the originally published article, Table 1 and Table 2 did not contain timely data. The corrected entries of Table 1 and Table 2 are presented below.

Corrections to Table 1.

List of current major materials data non‐commercial infrastructures. Note that some platforms are named after the leading research project and may host multiple services under different names. As contact person we listed the director(s) of each infrastructure, in such cases, where they were clearly identifiable. Data volume numbers reflect the state in April 2019

Name Website Contact Overview Ref.
QCArchive qcarchive.molssi.org Daniel Smith, MolSSI A central source to compile, aggregate, query, and share quantum chemistry data. Access to millions of computational molecular science results. 1
NanoMine materialsmine.org Catherine Brinson, Duke University Material informatics platform for polymer nanocomposites. Provides tools for curating, visualizing, pre‐processing and analyzing nanocomposite data. 2, 3
Materials Cloud materialscloud.org Nicola Marzari, EPFL Materials informatics platform for data‐driven high‐throughput quantum simulations, powered by the AiiDA‐infrastructure (aiida.net). 4

Corrections to Table 2.

Services provided by the selected materials data infrastructures. Open Access: provides partial or full free access to data. Computational data: contains data originating from software simulations. Experimental data: contains data originating from experiments. Data upload: Allows upload of external data, services that support issuing Digital Object Identifiers have been marked with (DOI). Workflow management tools: provides or collaborates in the development of open‐source software tools for workflow management. Web API: provides an interface for accessing data remotely with automated scripts. Data analysis tools: provides online or offline data analysis tools, including machine learning

Open Access Comp. data Exp. data Data upload (DOIs) Workflow management tools Web API Data analysis tools
Materials Cloud √(DOI)
NanoMine
Open Quantum Materials Database
SUNCAT
QCArchive
Exabyte.io a)
MaterialsZone
a)

Open Access to a subset of data.

To correct these errors, two new entries have been added: QCArchive1 and NanoMine.2, 3 Also, the entry for MARVEL NCCR has been renamed to Materials Cloud and corrected in Table 1 and Table 2; and the entries Open Quantum Materials Database (OQMD), SUNCAT, MaterialsZone, and Exabyte have been corrected in Table 2. Finally, the description for data upload and web API have been clarified in the caption of Table 2. The authors apologize for any misunderstanding these errors may have caused.

References

  • 1. [1] QCArchive , https://qcarchive.molssi.org (accessed: November 2019).
  • 2. Zhao [2] H., Li X., Zhang Y., Schadler L. S., Chen W., Brinson L. C., APL Mater. 2016, 4, 053204. [Google Scholar]
  • 3. Zhao [3] H., Wang Y., Lin A., Hu B., Yan R., McCusker J., Chen W., McGuinness D. L., Schadler L., Brinson L. C., APL Mater. 2018, 6, 111108. [Google Scholar]
  • 4. [4] Materials Cloud , https://www.materialscloud.org (accessed: November 2019).

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