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- W4220659813 endingPage "254" @default.
- W4220659813 startingPage "235" @default.
- W4220659813 abstract "Designing functional materials requires a deep search through multidimensional spaces for system parameters that yield desirable material properties. For cases where conventional parameter sweeps or trial-and-error sampling are impractical, inverse methods that frame design as a constrained optimization problem present an attractive alternative. However, even efficient algorithms require time- and resource-intensive characterization of material properties many times during optimization, imposing a design bottleneck. Approaches that incorporate machine learning can help address this limitation and accelerate the discovery of materials with targeted properties. In this article, we review how to leverage machine learning to reduce dimensionality in order to effectively explore design space, accelerate property evaluation, and generate unconventional material structures with optimal properties. We also discuss promising future directions, including integration of machine learning into multiple stages of a design algorithm and interpretation of machine learning models to understand how design parameters relate to material properties." @default.
- W4220659813 created "2022-04-03" @default.
- W4220659813 creator A5048049212 @default.
- W4220659813 creator A5051773769 @default.
- W4220659813 creator A5067474505 @default.
- W4220659813 creator A5077313856 @default.
- W4220659813 date "2022-06-10" @default.
- W4220659813 modified "2023-10-03" @default.
- W4220659813 title "Machine Learning–Assisted Design of Material Properties" @default.
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