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AFLOWlib.org is a materials science repository providing access to calculated properties of inorganic crystalline compounds.

AFLOWlib.org is a comprehensive materials science repository that hosts a vast collection of calculated properties for inorganic crystalline compounds. It leverages computational methods, primarily density functional theory (DFT), to generate and organize data related to materials' structural, electronic, and thermodynamic characteristics. The database aims to accelerate materials discovery and design by offering researchers readily accessible and reliable data. Users can search for materials based on composition, structure, or properties and access calculated information such as band gaps, elastic constants, and formation energies. AFLOWlib.org serves as a valuable resource for materials scientists, physicists, chemists, and engineers involved in materials research and development, providing a platform for data sharing and collaboration.
AFLOWlib.
Explore all tools that specialize in search by composition. This domain focus ensures AFLOWlib.org delivers optimized results for this specific requirement.
Explore all tools that specialize in search by properties. This domain focus ensures AFLOWlib.org delivers optimized results for this specific requirement.
Explore all tools that specialize in download calculated data. This domain focus ensures AFLOWlib.org delivers optimized results for this specific requirement.
Explore all tools that specialize in visualize material properties. This domain focus ensures AFLOWlib.org delivers optimized results for this specific requirement.
Allows users to refine searches using complex queries based on multiple criteria, including chemical composition, crystallographic parameters, and calculated properties, enabling precise material selection.
Provides interactive tools for visualizing crystal structures, electronic band structures, and other calculated properties, aiding in understanding material behavior and facilitating data interpretation.
Enables programmatic access to the AFLOWlib.org database, allowing users to integrate AFLOW data into their own computational workflows and analyses, facilitating automation and large-scale data processing.
Uses machine learning models to predict material properties based on existing data, allowing users to estimate properties for materials not yet included in the database, guiding experimental efforts and accelerating materials discovery.
AFLOW adopts a standard for calculations that ensures consistency and reliability of data across a wide range of materials. This is crucial for data mining and machine learning applications.
Visit the AFLOWlib.org website.
Use the search bar to enter a material composition or property of interest.
Explore the search results to find materials matching your criteria.
Click on a specific material to view its detailed properties.
Download the data in the desired format (e.g., CIF, JSON).
Refer to the AFLOW documentation or tutorials for more advanced features.
Consider attending an AFLOW seminar or school to learn more about using the database and related tools.
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"AFLOWlib.org is a free and open database, so there is no user review system in place, but as a standard in the field, it is reliable and comprehensive."
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