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Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
Research article (MRS Communications, 2019) · cited 183× · AI/ML
Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
Summary
Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics is a scholarly article[1].
Key Facts
Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics. Retrieved May 24, 2026, from https://4ort.xyz/entity/materials-science-in-the-artificial-intelligence-age-high-throughput-library-generation-machine-learning-and-a-pathway-f
MLA“Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/materials-science-in-the-artificial-intelligence-age-high-throughput-library-generation-machine-learning-and-a-pathway-f.
BibTeX@misc{4ortxyz_materials-science-in-the-artificial-intelligence-age-high-throughput-library-generation-machine-learning-and-a-pathway-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics}}, year = {2026}, url = {https://4ort.xyz/entity/materials-science-in-the-artificial-intelligence-age-high-throughput-library-generation-machine-learning-and-a-pathway-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics — https://4ort.xyz/entity/materials-science-in-the-artificial-intelligence-age-high-throughput-library-generation-machine-learning-and-a-pathway-f (retrieved 2026-05-24)
