Machine Learning in Materials Science
Machine Learning in Materials Science is a topic indexed in ScholarIQ from OpenAlex.
What is known about Machine Learning in Materials Science?
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.
How many works does Machine Learning in Materials Science have?
Machine Learning in Materials Science has 143,155 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Machine Learning in Materials Science have?
Machine Learning in Materials Science has 1,050,125 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Machine Learning in Materials Science?
The OpenAlex for Machine Learning in Materials Science is on the source record.