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Materials Data Engineering Laboratory: a Knowledge Discovery Platform for Materials Science

Discovering and uncovering "structure-properties-performance" relationship is fundamental for the advancement of scientific knowledge in the development of materials. The Data Engineering Laboratory portal serves as a conduit to help users map and interpret the complex correlations among diverse genres of data that govern the complex multiscale relationships in a variety of materials science applications. The Data Engineering Laboratory portal serves both as:

  1. A repository for the retrieval of experimentally and computationally derived data and access to a host of statistical learning tools; and
  2. A platform to explore and experiment with different workflows of materials informatics techniques that permit integration of information from models, experiments and databases to facilitate materials design and discovery.

This collective functionality of the MaDE lab aims to transform the role of databases from being repositories of searchable data into laboratories for knowledge discovery

Navigating the MaDE Laboratory

The Materials Data Engineering Lab portal is built on a HUBzero® platform. HUBzero® is an open source software platform for building powerful websites that host analytical tools, publish data, share resources, collaborate and build communities in a single web-based ecosystem. 

The MaDE Lab portal is built around different materials science platforms. Each of these platforms are addressing different types of materials design questions. Using the HUBzero® system, users can link each platform to a suite of "Resources". The Resources page provides:

  1. A definition or statement of the type of multiscale relationship in materials science being addressed in each application
  2. A repository of the relevant data, bibliography of legacy data, computational techniques and informatics/machine learning codes
  3. A workflow strategy that describes the sequence of steps harnessing the materials informatics toolkit
  4. Access to results of computations and interpretations and opportunities for users to submit data and other relevant information that can be used to generate the next cycle of analysis

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