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Assessment of feature engineering and long short-term memory for structure loss identification from process data in monocrystalline silicon growth by the Czochralski method

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Category

Report

Client

  • Research Council of Norway (RCN) / 257639

Language

English

Author(s)

Affiliation

  • Norwegian University of Science and Technology
  • SINTEF Industry / Metal Production and Processing

Year

2019

Publisher

Department of Materials Science and Engineering, NTNU

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