ACS Publications. Most Trusted. Most Cited. Most Read
Cognitive Materials Discovery and Onset of the 5th Discovery Paradigm

Cognitive Materials Discovery and Onset of the 5th Discovery Paradigm

  • Dmitry Y. Zubarev
    Dmitry Y. Zubarev
    IBM Research, Almaden Research Center, 650 Harry Road, San Jose, California 95120-6099, United States
  •  and 
  • Jed W. Pitera*
    Jed W. Pitera
    IBM Research, Almaden Research Center, 650 Harry Road, San Jose, California 95120-6099, United States
    *E-mail: [email protected]
DOI: 10.1021/bk-2019-1326.ch006
    Publication Date (Web):November 20, 2019
    Copyright © 2019 American Chemical Society.
    Machine Learning in Chemistry: Data-Driven Algorithms, Learning Systems, and Predictions
    Chapter 6pp 103-120
    ACS Symposium SeriesVol. 1326
    ISBN13: 9780841235052eISBN: 9780841235045

    Chapter Views

    236

    Citations

    7
    LEARN ABOUT THESE METRICS

    Chapter Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    Other access options

    Abstract

    The discovery of novel materials can generate immense technological, economic, and social benefits. However, these are slow, challenging, expert-intensive efforts. Our thesis is that new capabilities of cognitive computing—particularly natural language processing, knowledge representation, and automated reasoning—are poised to transform the process of materials discovery and take us from our current “4th paradigm” of discovery driven by data science and machine learning to a “5th paradigm” era where cognitive systems seamlessly integrate information from human experts, experimental data, physics-based models, and data-driven models to speed discovery. We discuss the key bottlenecks to discovery that need to be removed to enable this new approach and illustrate progress towards this cognitive future with examples from IBM research efforts as well as the broader literature.

    Read this chapter

    To access this chapter, please review the available access options below.

    Get instant access

    Purchase Access

    Read this chapter for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this chapter through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.