MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art

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dc.contributor.author Hu, Jianjun
dc.contributor.author Stefanov, Stanislav
dc.contributor.author Song, Yuqi
dc.contributor.author Omee, Sadman Sadeed
dc.contributor.author Louis, Steph-Yves
dc.contributor.author Siriwardane, Edirisuriya M. Dilanga
dc.contributor.author Zhao, Yong
dc.contributor.author Wei, Lai
dc.date.accessioned 2022-10-19T04:44:50Z
dc.date.available 2022-10-19T04:44:50Z
dc.date.issued 2022
dc.identifier.citation Hu, J., Stefanov, S., Song, Y., Omee, S. S., Louis, S.-Y., Siriwardane, E. M., Zhao, Y., & Wei, L. (2022). Materialsatlas.org: A materials informatics web app platform for materials discovery and survey of state-of-the-art. Npj Computational Materials, 8(1). https://doi.org/10.1038/s41524-022-00750-6 en_US
dc.identifier.other https://doi.org/10.1038/s41524-022-00750-6
dc.identifier.uri http://archive.cmb.ac.lk:8080/xmlui/handle/70130/6918
dc.description The views, perspectives, and content do not necessarily represent the official views of the NSF. We appreciate the help from Xerrak Agha, Daniel Varivoda, Sourin Dey for proofreading. en_US
dc.description.abstract The availability and easy access of large-scale experimental and computational materials data have enabled the emergence of accelerated development of algorithms and models for materials property prediction, structure prediction, and generative design of materials. However, the lack of user-friendly materials informatics web servers has severely constrained the wide adoption of such tools in the daily practice of materials screening, tinkering, and design space exploration by materials scientists. Herein we first survey current materials informatics web apps and then propose and develop MaterialsAtlas.org, a web-based materials informatics toolbox for materials discovery, which includes a variety of routinely needed tools for exploratory materials discovery, including material’s composition and structure validity check (e.g. charge neutrality, electronegativity balance, dynamic stability, Pauling rules), materials property prediction (e.g. band gap, elastic moduli, hardness, and thermal conductivity), search for hypothetical materials, and utility tools. These user-friendly tools can be freely accessed at http://www.materialsatlas.org. We argue that such materials informatics apps should be widely developed by the community to speed up materials discovery processes. en_US
dc.description.sponsorship The research reported in this work was supported in part by National Science Foundation under the grant and 1940099, 1905775, and OIA-1655740. en_US
dc.language.iso en en_US
dc.publisher NPJ Computational Materials en_US
dc.subject Machine Learning en_US
dc.subject Deep Learning en_US
dc.subject Materials Science en_US
dc.subject Materials Informatics en_US
dc.title MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art en_US
dc.type Article en_US


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