A RESTful API for exchanging materials data in the AFLOWLIB.org consortium

Taylor, Richard H.; Rose, Frisco; Toher, Cormac; Levy, Ohad; Yang, Kesong; Buongiorno Nardelli, Marco; Curtarolo, Stefano

doi:10.1016/j.commatsci.2014.05.014

Title: A RESTful API for exchanging materials data in the AFLOWLIB.org consortium

Full Record
Other Related Research

Authors:: Taylor, Richard H.; Rose, Frisco; Toher, Cormac; Levy, Ohad; Yang, Kesong; Buongiorno Nardelli, Marco; Curtarolo, Stefano

Publication Date:: Wed Oct 01 00:00:00 EDT 2014

Sponsoring Org.:: USDOE

OSTI Identifier:: 1393272

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Published Article

Journal Name:: Computational Materials Science

Additional Journal Information:: Journal Name: Computational Materials Science Journal Volume: 93 Journal Issue: C; Journal ID: ISSN 0927-0256

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

Citation Formats


                    Taylor, Richard H., Rose, Frisco, Toher, Cormac, Levy, Ohad, Yang, Kesong, Buongiorno Nardelli, Marco, and Curtarolo, Stefano. A RESTful API for exchanging materials data in the AFLOWLIB.org consortium.  Netherlands: N. p., 2014. 
Web.  doi:10.1016/j.commatsci.2014.05.014.

Copy to clipboard


                    Taylor, Richard H., Rose, Frisco, Toher, Cormac, Levy, Ohad, Yang, Kesong, Buongiorno Nardelli, Marco, & Curtarolo, Stefano. A RESTful API for exchanging materials data in the AFLOWLIB.org consortium.  Netherlands.  https://doi.org/10.1016/j.commatsci.2014.05.014

Copy to clipboard


                    Taylor, Richard H., Rose, Frisco, Toher, Cormac, Levy, Ohad, Yang, Kesong, Buongiorno Nardelli, Marco, and Curtarolo, Stefano. Wed .  
"A RESTful API for exchanging materials data in the AFLOWLIB.org consortium".  Netherlands.  https://doi.org/10.1016/j.commatsci.2014.05.014.

Copy to clipboard


                    
@article{osti_1393272,

  title        = {A RESTful API for exchanging materials data in the AFLOWLIB.org consortium},

  author       = {Taylor, Richard H. and Rose, Frisco and Toher, Cormac and Levy, Ohad and Yang, Kesong and Buongiorno Nardelli, Marco and Curtarolo, Stefano},

  abstractNote = {},

  doi          = {10.1016/j.commatsci.2014.05.014},

  journal      = {Computational Materials Science},

  number       = C,

  volume       = 93,

  place        = {Netherlands},

  year         = {Wed Oct 01 00:00:00 EDT 2014},

  month        = {Wed Oct 01 00:00:00 EDT 2014}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
https://doi.org/10.1016/j.commatsci.2014.05.014

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 114 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles

Journal Article Ong, Shyue Ping ; Cholia, Shreyas ; Jain, Anubhav ; ... - Computational Materials Science

Here in this paper, we describe the Materials Application Programming Interface (API), a simple, flexible and efficient interface to programmatically query and interact with the Materials Project database based on the REpresentational State Transfer (REST) pattern for the web. Since its creation in Aug 2012, the Materials API has been the Materials Project's de facto platform for data access, supporting not only the Materials Project's many collaborative efforts but also enabling new applications and analyses. We will highlight some of these analyses enabled by the Materials API, particularly those requiring consolidation of data on a large number of materials, suchmore »« less
Cited by 250
https://doi.org/10.1016/j.commatsci.2014.10.037

Full Text Available
OPTIMADE, an API for exchanging materials data

Journal Article Andersen, Casper W. ; Armiento, Rickard ; Blokhin, Evgeny ; ... - Scientific Data

The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the specification, v1.0, which is already supported by many leading databases and several software packages. We illustrate the advantages of the OPTIMADE API through worked examples on each of the public materials databases that support the full API specification.
https://doi.org/10.1038/s41597-021-00974-z
A RESTful API for accessing microbial community data for MG-RAST

Journal Article Wilke, Andreas ; Bischof, Jared ; Harrison, Travis ; ... - PLoS Computational Biology (Online)

Metagenomic sequencing has produced significant amounts of data in recent years. For example, as of summer 2013, MG-RAST has been used to annotate over 110,000 data sets totaling over 43 Terabases. With metagenomic sequencing finding even wider adoption in the scientific community, the existing web-based analysis tools and infrastructure in MG-RAST provide limited capability for data retrieval and analysis, such as comparative analysis between multiple data sets. Moreover, although the system provides many analysis tools, it is not comprehensive. By opening MG-RAST up via a web services API (application programmers interface) we have greatly expanded access to MG-RAST data, asmore »« less
Cited by 49
https://doi.org/10.1371/journal.pcbi.1004008

Full Text Available
Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application

Journal Article Hanwell, Marcus D. ; de Jong, Wibe A. ; Harris, Christopher J. - Journal of Cheminformatics

An end-to-end platform for chemical science research has been developed that integrates data from computational and experimental approaches through a modern web-based interface. The platform offers an interactive visualization and analytics environment that functions well on mobile, laptop and desktop devices. It offers pragmatic solutions to ensure that large and complex data sets are more accessible. Existing desktop applications/frameworks were extended to integrate with high-performance computing resources, and offer command-line tools to automate interaction - connecting distributed teams to this software platform on their own terms. The platform was developed openly, and all source code hosted on the GitHub platformmore »« less
Cited by 10
https://doi.org/10.1186/s13321-017-0241-z
Spring Boot based REST API to Improve Data Quality Report Generation for Big Scientific Data: ARM Data Center Example

Conference Guntupally, Kavya ; Devarakonda, Ranjeet ; Kehoe, Kenneth E.

Web application technologies are growing rapidly with continuous innovation and improvements. This paper focuses on the popular Spring Boot [1] java-based framework for building web and enterprise applications and how it provides the flexibility for service-oriented architecture (SOA). One challenge with any Spring-based applications is its level of complexity with configurations. Spring Boot makes it easy to create and deploy stand-alone, production-grade Spring applications with very little Spring configuration. Example, if we consider Spring Model-View-Controller (MVC) framework [2], we need to configure dispatcher servlet, web jars, a view resolver, and component scan among other things. To solve this, Spring Bootmore »« less
https://doi.org/10.1109/BigData.2018.8621924

Full Text Available

Similar Records