AbstractThe continued advancement of science depends on shared and reproducible data. In the field of computational materials science and rational materials design this entails the construction of large open databases of materials properties. To this end, an Application Program Interface (API) following REST principles is introduced for the AFLOWLIB.org materials data repositories consortium. AUIDs (Aflowlib Unique IDentifier) and AURLs (Aflowlib Uniform Resource Locator) are assigned to the database resources according to a well-defined protocol described herein, which enables the client to access, through appropriate queries, the desired data for post-processing. This introduces a new level of openness into the AFLOWLIB repository, allowi...
With big-data driven materials research, the new paradigm of materials science, sharing and wide acc...
The prosperity and lifestyle of our society are very much governed by achievements in condensed matt...
| openaire: EC/H2020/676580/EU//NoMaDData-driven science is heralded as a new paradigm in materials ...
: The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal...
Machine learning approaches, enabled by the emergence of comprehensive databases of materials proper...
This article discusses the introduction of an Application Program Interface (API) following REST pri...
In this paper, we describe the Materials Application Programming Interface (API), a simple, flexible...
Designing new materials suitable for specific applications is a long, complex, and costly process. R...
This chapter addresses the challenges and chances of big-data driven materials science, and it descr...
a b s t r a c t Recent advances in computational materials science present novel opportunities for s...
Data are a crucial raw material of this century. The amount of data that have been created in materi...
Empirical databases of crystal structures and thermodynamic properties are fundamental tools for mat...
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal a...
In materials science, the understanding of new materials is becoming increasingly complex. Without s...
This work discusses how the MPContribs framework in the Materials Project (MP) allows user-contribut...
With big-data driven materials research, the new paradigm of materials science, sharing and wide acc...
The prosperity and lifestyle of our society are very much governed by achievements in condensed matt...
| openaire: EC/H2020/676580/EU//NoMaDData-driven science is heralded as a new paradigm in materials ...
: The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal...
Machine learning approaches, enabled by the emergence of comprehensive databases of materials proper...
This article discusses the introduction of an Application Program Interface (API) following REST pri...
In this paper, we describe the Materials Application Programming Interface (API), a simple, flexible...
Designing new materials suitable for specific applications is a long, complex, and costly process. R...
This chapter addresses the challenges and chances of big-data driven materials science, and it descr...
a b s t r a c t Recent advances in computational materials science present novel opportunities for s...
Data are a crucial raw material of this century. The amount of data that have been created in materi...
Empirical databases of crystal structures and thermodynamic properties are fundamental tools for mat...
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal a...
In materials science, the understanding of new materials is becoming increasingly complex. Without s...
This work discusses how the MPContribs framework in the Materials Project (MP) allows user-contribut...
With big-data driven materials research, the new paradigm of materials science, sharing and wide acc...
The prosperity and lifestyle of our society are very much governed by achievements in condensed matt...
| openaire: EC/H2020/676580/EU//NoMaDData-driven science is heralded as a new paradigm in materials ...