Artificial Intelligence Driving Materials Discovery? Perspective on the Article: Scaling Deep Learning for Materials Discovery
University of California, Santa Barbara · National University of Singapore
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
- FWCI
- 12.09
- Percentile
- 100%
- References
- 27
Authors
2Topics & keywords
- Perspective (graphical)
- Scaling
- Data science
- Deep learning
- Nanotechnology
- Artificial intelligence
- Computer science
- Cognitive science
- Industry, innovation and infrastructure