articleChemistry of MaterialsApr 8, 2024HYBRID OA

Artificial Intelligence Driving Materials Discovery? Perspective on the Article: Scaling Deep Learning for Materials Discovery

University of California, Santa Barbara · National University of Singapore

PubMed
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Abstract

The discovery of new crystalline inorganic compounds-novel compositions of matter within known structure types, or even compounds with completely new crystal structures-constitutes an important goal of solid-state and materials chemistry. Some fractions of new compounds can eventually lead to new structural and functional materials that enhance the efficiency of existing technologies or even enable completely new technologies. Materials researchers eagerly welcome new approaches to the discovery of new compounds, especially those that offer the promise of accelerated success. The recent report from a group of scientists at Google who employ a combination of existing data sets, high-throughput density…

Citation impact

111
total citations
FWCI
12.09
Percentile
100%
References
27
Citations per year

Authors

2

Topics & keywords

Keywords
  • Perspective (graphical)
  • Scaling
  • Data science
  • Deep learning
  • Nanotechnology
  • Artificial intelligence
  • Computer science
  • Cognitive science
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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