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Machine Learning in Materials Science

TopicLeading institutions, researchers & key papers

Machine Learning in Materials Science is a topic indexed in PICO Portal from OpenAlex.

What is known about Machine Learning in Materials Science?

PICO Portalrecord 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?

PICO Portalindexed works

Machine Learning in Materials Science has 27 works in the PICO Portal 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?

PICO Portalopenalex

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?

PICO Portalmost cited works
Inverse Design of Materials by Machine Learning
Wang Jia, Yingxue Wang, Yanan Chen
Materials. 2022119 CitationsOPEN ACCESS
Molecular generation targeting desired electronic properties <i>via</i> deep generative models
Qi Yuan, Alejandro Santana‐Bonilla, Martijn A. Zwijnenburg, Kim E. Jelfs
Nanoscale. 202047 CitationsOPEN ACCESS
Artificial intelligence and machine learning-driven design of self-healing biomedical composites
Senthil Maharaj Kennedy, K. Amudhan, K. Padmapriya, R. Robert
Expert Review of Medical Devices. 202517 Citations
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
Journal of Materials Chemistry A. 202314 Citations
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
Journal of Chemical Theory and Computation. 20243 Citations

Where is Machine Learning in Materials Science research published, and who funds it?

PICO Portalvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Machine Learning in Materials Science is open access?

PICO Portalopen access share
63%OPEN ACCESS
Gold
13%
Green
25%
Hybrid
25%
Bronze
0%
Closed
38%

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