Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining machine learning (ML) — a type of artificial intelligence — and high performance computing. The new approach could help accelerate the discovery and design of useful materials.
Source: Savannah Mitchem, Argonne National Laboratory
The post Scientists Use Machine Learning to Accelerate Materials Discovery appeared first on HPCwire.
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