Perspective: Materials Informatics and Big Data: Realization of the Fourth Paradigm of Science in Materials Science

Abstract

Our ability to collect big data has greatly surpassed our capability to analyze it, underscoring the emergence of the fourth paradigm of science, which is data-driven discovery. The need for data informatics is also emphasized by the Materials Genome Initiative (MGI), further boosting the emerging field of materials informatics. In this article, we look at how data-driven techniques are playing a big role in deciphering processing-structure-property-performance relationships in materials, with illustrative examples of both forward models (property prediction) and inverse models (materials discovery). Such analytics can significantly reduce time-to-insight and accelerate cost-effective materials discovery, which is the goal of MGI.

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Document Details

Document Type
Technical Report
Publication Date
Aug 17, 2016
Accession Number
AD1010508

Entities

People

  • Alok Choudhary
  • Ankit Agrawal

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Big Data
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Density Functional Theory
  • Information Science
  • Knowledge Management
  • Machine Learning
  • Materials
  • Materials Engineering
  • Materials Science
  • Network Science
  • Predictive Modeling
  • Social Media
  • Supervised Machine Learning

Readers

  • Distributed Systems and Data Platform Development
  • Military History / Militaries and War Studies
  • Nanocomposite Materials Science