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

2020; Wiley; Volume: 7; Issue: 2 Linguagem: Inglês

10.1002/advs.201903667

2198-3844

Lauri Himanen, Amber Geurts, Adam S. Foster, Patrick Rinke,

Advanced X-ray and CT Imaging

Advanced ScienceVolume 7, Issue 2 1903667 CorrectionOpen Access Data-Driven Materials Science: Status, Challenges, and Perspectives This article corrects the following: Data-Driven Materials Science: Status, Challenges, and Perspectives Lauri Himanen, Amber Geurts, Adam Stuart Foster, Patrick Rinke, Volume 6Issue 21Advanced Science First Published online: September 1, 2019 Lauri Himanen, Lauri HimanenSearch for more papers by this authorAmber Geurts, Amber GeurtsSearch for more papers by this authorAdam Stuart Foster, Adam Stuart FosterSearch for more papers by this authorPatrick Rinke, Patrick RinkeSearch for more papers by this author Lauri Himanen, Lauri HimanenSearch for more papers by this authorAmber Geurts, Amber GeurtsSearch for more papers by this authorAdam Stuart Foster, Adam Stuart FosterSearch for more papers by this authorPatrick Rinke, Patrick RinkeSearch for more papers by this author First published: 22 January 2020 https://doi.org/10.1002/advs.201903667Citations: 8AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat 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. 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. 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. References 1 [1] QCArchive, https://qcarchive.molssi.org (accessed: November 2019). 2[2] H. Zhao, X. Li, Y. Zhang, L. S. Schadler, W. Chen, L. C. Brinson, APL Mater. 2016, 4, 053204. 3[3] H. Zhao, Y. Wang, A. Lin, B. Hu, R. Yan, J. McCusker, W. Chen, D. L. McGuinness, L. Schadler, L. C. Brinson, APL Mater. 2018, 6, 111108. 4 [4] Materials Cloud, https://www.materialscloud.org (accessed: November 2019). Citing Literature Volume7, Issue2January 22, 20201903667 ReferencesRelatedInformation