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METHOD AND APPARATUS FOR RECONSTRUCTING 3D MICROSTRUCTURE USING NEURAL NETWORK

  • US 20200134465A1
  • Filed: 10/04/2019
  • Published: 04/30/2020
  • Est. Priority Date: 10/29/2018
  • Status: Active Grant
First Claim
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1. A method of generating a 3D microstructure using a neural network, the method comprising:

  • configuring an initial 3D microstructure;

    obtaining a plurality of cross-sectional images by disassembling the initial 3D microstructure in at least one direction of the initial 3D microstructure;

    generating first output feature maps with respect to at least one layer of the neural network based on each of the plurality of cross-sectional images to the neural network;

    generating second output feature maps with respect to the at least one layer in the neural network based on a 2D original image;

    generating a 3D gradient by applying a loss value based on the first output feature maps and the second output feature maps to a back-propagation algorithm in the neural network; and

    generating a final 3D microstructure by modifying the initial 3D microstructure based on the 3D gradient.

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