ScholarIQanswers from OpenAlex
Machine Learning in Materials Science
TopicLeading institutions, researchers & key papers
Machine Learning in Materials Science is a topic indexed in ScholarIQ from OpenAlex.
What is known about Machine Learning in Materials Science?
ScholarIQrecord summary
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?
ScholarIQindexed works
Machine Learning in Materials Science has 27 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Machine Learning in Materials Science?
ScholarIQopenalex
The OpenAlex for Machine Learning in Materials Science is on the source record.
What are the most-cited papers on Machine Learning in Materials Science?
ScholarIQmost cited works
Inverse Design of Materials by Machine Learning
Wang Jia, Yingxue Wang, Yanan Chen
Molecular generation targeting desired electronic properties <i>via</i> deep generative models
Qi Yuan, Alejandro Santana‐Bonilla, Martijn A. Zwijnenburg, Kim E. Jelfs
Artificial intelligence and machine learning-driven design of self-healing biomedical composites
Senthil Maharaj Kennedy, K. Amudhan, K. Padmapriya, R. Robert
A domain knowledge enhanced machine learning method to predict the properties of halide double perovskite A <sub>2</sub> B <sup>+</sup> B <sup>3+</sup> X <sub>6</sub>
Xiao Wei, Yunong Zhang, Xi Liu, Junjie Peng, Shengzhou Li, Renchao Che, Huiran Zhang
Accelerated Structural Optimization for the Supported Metal System Based on Hybrid Approach Combining Bayesian Optimization with Local Search
Shinyoung Bae, Dongjae Shin, Haechang Kim, Jeong Woo Han, Jong Min Lee
Where is Machine Learning in Materials Science research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Machine Learning in Materials Science is open access?
ScholarIQopen access share
63%OPEN ACCESS