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Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

Research article (Machine Learning with Applications, 2024) · cited 20× · AI/ML
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Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

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Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties is a scholarly article[1].

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  • Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties's instance of is recorded as scholarly article[2].

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Stefan Sandfeld

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-surrogate-models-for-materials-science-simulations-machine-learning-based-prediction-of-microstructure-propert
MLA “Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-surrogate-models-for-materials-science-simulations-machine-learning-based-prediction-of-microstructure-propert.
BibTeX @misc{4ortxyz_efficient-surrogate-models-for-materials-science-simulations-machine-learning-based-prediction-of-microstructure-propert_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-surrogate-models-for-materials-science-simulations-machine-learning-based-prediction-of-microstructure-propert}, note = {Accessed: 2026-05-24}}
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