A Fourier-transformed feature engineering design for predicting ternary perovskite properties by coupling a two-dimensional convolutional neural network with a support vector machine (Conv2D-SVM)

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1088/2053-1591/acb683
AuthorSearch for: 1ORCID identifier: https://orcid.org/0000-0003-2878-3484; Search for: ORCID identifier: https://orcid.org/0000-0002-2240-9099; Search for: 1
  1. National Research Council of Canada. Digital Technologies
FunderSearch for: National Research Council Canada; Search for: Natural Sciences and Engineering Research Council of Canada
FormatText, Article
Subjectperovskite; Fourier transformation; convolutional neural network; support vector machine; energy bandgap
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PublisherIOP Publishing
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Record identifier61575103-bb21-4cb2-b18a-c7a2d41a5adf
Record created2023-01-31
Record modified2023-03-16
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