# Machine Learning in Materials Science

{
  "id": "T11948",
  "title": "Machine Learning in Materials Science",
  "url": "/topics/T11948",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "4dc1a59a43e215af",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36249269577115671",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    25,
    2505,
    11948
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the application of materials informatics, machine learning, and high-throughput computational techniques to accelerate materials innovation. It encompasses topics such as property predictions, crystal structures, molecular dynamics, and data mining in the context of materials science and engineering.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T11948

No owner-reviewed local answer yet.