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June 3, 2026Open Access

Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

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Authors

CLChi Hao LiowJYJong Min YukHBHye Ryung Byon

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Overview

Review discusses innovative materials discovery using machine learning and multiscale imaging techniques.

Key Points

  • The aim is to explore methods for accelerating materials discovery and design through multiscale imaging and machine learning.
  • Review of global initiatives like the Materials Genome Initiative and others.
  • Combination of data mining, machine learning, and multiscale imaging techniques.
  • Case study on Ni–Co–Mn cathode materials focusing on structure-property-processing relationships.
  • Demonstrated that machine learning significantly enhances the efficiency of materials discovery compared to classical methods.
  • Reviewed examples of materials applications in energy and information sectors.
  • Highlight initiatives' contributions towards understanding structure-property relationships and material development.

Cite This Study

Liow et al. (2021) studied this question.

synapsesocial.com/papers/6a1fc730dee9eb8c0dce8080https://doi.org/10.6082/0smj9-y6w48
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