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Stefano Curtarolo - One of the best experts on this subject based on the ideXlab platform.

  • AFLUX: The LUX materials search API for the AFLOW data repositories
    Computational Materials Science, 2017
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data for accelerated materials design. In order to take advantage of these large databases, users should have the ability to efficiently search and extract the desired data. Therefore, we have extended the data-oriented AFLOW-repository Application-Program-Interface (API) (Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A Uniform Resource Identifier (URI)-based search API is proposed for the construction of complex queries for remote creation and retrieval of customized data sets. It is expected that the new language, AFLUX, from “Automatic Flow of LUX (light)”, will enable remote search operations on the AFLOW set of computational materials science data repositories. In addition, AFLUX facilitates the verification and validation of the data in the AFLOW repositories.

  • aflux the lux materials search api for the aflow data repositories
    arXiv: Materials Science, 2016
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A URI-based search API (Uniform Resource Identifier) is proposed for the construction of complex queries with the intent of allowing the remote creation and retrieval of customized data sets. It is expected that the new language AFLUX, acronym for Automatic Flow of LUX (light), will facilitate the creation of remote search operations on the AFLOW.org set of computational materials science data repositories.

James Polk - One of the best experts on this subject based on the ideXlab platform.

Frisco Rose - One of the best experts on this subject based on the ideXlab platform.

  • AFLUX: The LUX materials search API for the AFLOW data repositories
    Computational Materials Science, 2017
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data for accelerated materials design. In order to take advantage of these large databases, users should have the ability to efficiently search and extract the desired data. Therefore, we have extended the data-oriented AFLOW-repository Application-Program-Interface (API) (Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A Uniform Resource Identifier (URI)-based search API is proposed for the construction of complex queries for remote creation and retrieval of customized data sets. It is expected that the new language, AFLUX, from “Automatic Flow of LUX (light)”, will enable remote search operations on the AFLOW set of computational materials science data repositories. In addition, AFLUX facilitates the verification and validation of the data in the AFLOW repositories.

  • aflux the lux materials search api for the aflow data repositories
    arXiv: Materials Science, 2016
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A URI-based search API (Uniform Resource Identifier) is proposed for the construction of complex queries with the intent of allowing the remote creation and retrieval of customized data sets. It is expected that the new language AFLUX, acronym for Automatic Flow of LUX (light), will facilitate the creation of remote search operations on the AFLOW.org set of computational materials science data repositories.

Marco Buongiorno Nardelli - One of the best experts on this subject based on the ideXlab platform.

  • AFLUX: The LUX materials search API for the AFLOW data repositories
    Computational Materials Science, 2017
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data for accelerated materials design. In order to take advantage of these large databases, users should have the ability to efficiently search and extract the desired data. Therefore, we have extended the data-oriented AFLOW-repository Application-Program-Interface (API) (Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A Uniform Resource Identifier (URI)-based search API is proposed for the construction of complex queries for remote creation and retrieval of customized data sets. It is expected that the new language, AFLUX, from “Automatic Flow of LUX (light)”, will enable remote search operations on the AFLOW set of computational materials science data repositories. In addition, AFLUX facilitates the verification and validation of the data in the AFLOW repositories.

  • aflux the lux materials search api for the aflow data repositories
    arXiv: Materials Science, 2016
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A URI-based search API (Uniform Resource Identifier) is proposed for the construction of complex queries with the intent of allowing the remote creation and retrieval of customized data sets. It is expected that the new language AFLUX, acronym for Automatic Flow of LUX (light), will facilitate the creation of remote search operations on the AFLOW.org set of computational materials science data repositories.

Corey Oses - One of the best experts on this subject based on the ideXlab platform.

  • AFLUX: The LUX materials search API for the AFLOW data repositories
    Computational Materials Science, 2017
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data for accelerated materials design. In order to take advantage of these large databases, users should have the ability to efficiently search and extract the desired data. Therefore, we have extended the data-oriented AFLOW-repository Application-Program-Interface (API) (Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A Uniform Resource Identifier (URI)-based search API is proposed for the construction of complex queries for remote creation and retrieval of customized data sets. It is expected that the new language, AFLUX, from “Automatic Flow of LUX (light)”, will enable remote search operations on the AFLOW set of computational materials science data repositories. In addition, AFLUX facilitates the verification and validation of the data in the AFLOW repositories.

  • aflux the lux materials search api for the aflow data repositories
    arXiv: Materials Science, 2016
    Co-Authors: Frisco Rose, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari, Cormac Toher, Stefano Curtarolo
    Abstract:

    Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in Comput. Mater. Sci. 93, 178 (2014)) to enable programmatic access to search queries. A URI-based search API (Uniform Resource Identifier) is proposed for the construction of complex queries with the intent of allowing the remote creation and retrieval of customized data sets. It is expected that the new language AFLUX, acronym for Automatic Flow of LUX (light), will facilitate the creation of remote search operations on the AFLOW.org set of computational materials science data repositories.